IMPORTING ALL LIBRARIES¶

In [1]:
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
warnings.filterwarnings("ignore")

READ DATA SETS¶

In [2]:
train=pd.read_csv(r"C:\Users\Admin AM\Downloads\Property_Price_Train.csv")   #read train file
train
Out[2]:
Id Building_Class Zoning_Class Lot_Extent Lot_Size Road_Type Lane_Type Property_Shape Land_Outline Utility_Type ... Pool_Area Pool_Quality Fence_Quality Miscellaneous_Feature Miscellaneous_Value Month_Sold Year_Sold Sale_Type Sale_Condition Sale_Price
0 1 60 RLD 65.0 8450 Paved NaN Reg Lvl AllPub ... 0 NaN NaN NaN 0 2 2008 WD Normal 208500
1 2 20 RLD 80.0 9600 Paved NaN Reg Lvl AllPub ... 0 NaN NaN NaN 0 5 2007 WD Normal 181500
2 3 60 RLD 68.0 11250 Paved NaN IR1 Lvl AllPub ... 0 NaN NaN NaN 0 9 2008 WD Normal 223500
3 4 70 RLD 60.0 9550 Paved NaN IR1 Lvl AllPub ... 0 NaN NaN NaN 0 2 2006 WD Abnorml 140000
4 5 60 RLD 84.0 14260 Paved NaN IR1 Lvl AllPub ... 0 NaN NaN NaN 0 12 2008 WD Normal 250000
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
1454 1455 20 FVR 62.0 7500 Paved Paved Reg Lvl AllPub ... 0 NaN NaN NaN 0 10 2009 WD Normal 185000
1455 1456 60 RLD 62.0 7917 Paved NaN Reg Lvl AllPub ... 0 NaN NaN NaN 0 8 2007 WD Normal 175000
1456 1457 20 RLD 85.0 13175 Paved NaN Reg Lvl AllPub ... 0 NaN MnPrv NaN 0 2 2010 WD Normal 210000
1457 1458 70 RLD 66.0 9042 Paved NaN Reg Lvl AllPub ... 0 NaN GdPrv Shed 2500 5 2010 WD Normal 266500
1458 1459 20 RLD 68.0 9717 Paved NaN Reg Lvl AllPub ... 0 NaN NaN NaN 0 4 2010 WD Normal 142125

1459 rows × 81 columns

In [3]:
train.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1459 entries, 0 to 1458
Data columns (total 81 columns):
 #   Column                     Non-Null Count  Dtype  
---  ------                     --------------  -----  
 0   Id                         1459 non-null   int64  
 1   Building_Class             1459 non-null   int64  
 2   Zoning_Class               1459 non-null   object 
 3   Lot_Extent                 1200 non-null   float64
 4   Lot_Size                   1459 non-null   int64  
 5   Road_Type                  1459 non-null   object 
 6   Lane_Type                  91 non-null     object 
 7   Property_Shape             1459 non-null   object 
 8   Land_Outline               1459 non-null   object 
 9   Utility_Type               1459 non-null   object 
 10  Lot_Configuration          1459 non-null   object 
 11  Property_Slope             1459 non-null   object 
 12  Neighborhood               1459 non-null   object 
 13  Condition1                 1459 non-null   object 
 14  Condition2                 1459 non-null   object 
 15  House_Type                 1459 non-null   object 
 16  House_Design               1459 non-null   object 
 17  Overall_Material           1459 non-null   int64  
 18  House_Condition            1459 non-null   int64  
 19  Construction_Year          1459 non-null   int64  
 20  Remodel_Year               1459 non-null   int64  
 21  Roof_Design                1459 non-null   object 
 22  Roof_Quality               1459 non-null   object 
 23  Exterior1st                1459 non-null   object 
 24  Exterior2nd                1459 non-null   object 
 25  Brick_Veneer_Type          1451 non-null   object 
 26  Brick_Veneer_Area          1451 non-null   float64
 27  Exterior_Material          1459 non-null   object 
 28  Exterior_Condition         1459 non-null   object 
 29  Foundation_Type            1459 non-null   object 
 30  Basement_Height            1422 non-null   object 
 31  Basement_Condition         1422 non-null   object 
 32  Exposure_Level             1421 non-null   object 
 33  BsmtFinType1               1422 non-null   object 
 34  BsmtFinSF1                 1459 non-null   int64  
 35  BsmtFinType2               1421 non-null   object 
 36  BsmtFinSF2                 1459 non-null   int64  
 37  BsmtUnfSF                  1459 non-null   int64  
 38  Total_Basement_Area        1459 non-null   int64  
 39  Heating_Type               1459 non-null   object 
 40  Heating_Quality            1459 non-null   object 
 41  Air_Conditioning           1459 non-null   object 
 42  Electrical_System          1458 non-null   object 
 43  First_Floor_Area           1459 non-null   int64  
 44  Second_Floor_Area          1459 non-null   int64  
 45  LowQualFinSF               1459 non-null   int64  
 46  Grade_Living_Area          1459 non-null   int64  
 47  Underground_Full_Bathroom  1459 non-null   int64  
 48  Underground_Half_Bathroom  1459 non-null   int64  
 49  Full_Bathroom_Above_Grade  1459 non-null   int64  
 50  Half_Bathroom_Above_Grade  1459 non-null   int64  
 51  Bedroom_Above_Grade        1459 non-null   int64  
 52  Kitchen_Above_Grade        1459 non-null   int64  
 53  Kitchen_Quality            1459 non-null   object 
 54  Rooms_Above_Grade          1459 non-null   int64  
 55  Functional_Rate            1459 non-null   object 
 56  Fireplaces                 1459 non-null   int64  
 57  Fireplace_Quality          770 non-null    object 
 58  Garage                     1378 non-null   object 
 59  Garage_Built_Year          1378 non-null   float64
 60  Garage_Finish_Year         1378 non-null   object 
 61  Garage_Size                1459 non-null   int64  
 62  Garage_Area                1459 non-null   float64
 63  Garage_Quality             1378 non-null   object 
 64  Garage_Condition           1378 non-null   object 
 65  Pavedd_Drive               1459 non-null   object 
 66  W_Deck_Area                1459 non-null   float64
 67  Open_Lobby_Area            1459 non-null   float64
 68  Enclosed_Lobby_Area        1459 non-null   float64
 69  Three_Season_Lobby_Area    1459 non-null   int64  
 70  Screen_Lobby_Area          1459 non-null   int64  
 71  Pool_Area                  1459 non-null   int64  
 72  Pool_Quality               7 non-null      object 
 73  Fence_Quality              281 non-null    object 
 74  Miscellaneous_Feature      54 non-null     object 
 75  Miscellaneous_Value        1459 non-null   int64  
 76  Month_Sold                 1459 non-null   int64  
 77  Year_Sold                  1459 non-null   int64  
 78  Sale_Type                  1459 non-null   object 
 79  Sale_Condition             1459 non-null   object 
 80  Sale_Price                 1459 non-null   int64  
dtypes: float64(7), int64(31), object(43)
memory usage: 923.4+ KB
In [4]:
test=pd.read_csv(r"C:\Users\Admin AM\Downloads\Property_Price_Test.csv")   #read test file
test
Out[4]:
Id Building_Class Zoning_Class Lot_Extent Lot_Size Road_Type Lane_Type Property_Shape Land_Outline Utility_Type ... Screen_Lobby_Area Pool_Area Pool_Quality Fence_Quality Miscellaneous_Feature Miscellaneous_Value Month_Sold Year_Sold Sale_Type Sale_Condition
0 1461 20 RHD 80.0 16104.819760 Paved NaN Reg Lvl AllPub ... 120 0 NaN MnPrv NaN 0 6 2010 WD Normal
1 1462 20 RLD 81.0 15639.150810 Paved NaN IR1 Lvl AllPub ... 0 0 NaN NaN Gar2 12500 6 2010 WD Normal
2 1463 60 RLD 74.0 3849.428920 Paved NaN IR1 Lvl AllPub ... 0 0 NaN MnPrv NaN 0 3 2010 WD Normal
3 1464 60 RLD 78.0 4955.447942 Paved NaN IR1 Lvl AllPub ... 0 0 NaN NaN NaN 0 6 2010 WD Normal
4 1465 120 RLD 43.0 3046.604942 Paved NaN IR1 HLS AllPub ... 144 0 NaN NaN NaN 0 1 2010 WD Normal
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
1454 2915 160 RMD 21.0 14584.838440 Paved NaN Reg Lvl AllPub ... 0 0 NaN NaN NaN 0 6 2006 WD NoRMDal
1455 2916 160 RMD 21.0 8072.991379 Paved NaN Reg Lvl AllPub ... 0 0 NaN NaN NaN 0 4 2006 WD AbnoRMDl
1456 2917 20 RLD 160.0 7367.775348 Paved NaN Reg Lvl AllPub ... 0 0 NaN NaN NaN 0 9 2006 WD Abnorml
1457 2918 85 RLD 62.0 2203.135444 Paved NaN Reg Lvl AllPub ... 0 0 NaN MnPrv Shed 700 7 2006 WD Normal
1458 2919 60 RLD 74.0 6253.431852 Paved NaN Reg Lvl AllPub ... 0 0 NaN NaN NaN 0 11 2006 WD Normal

1459 rows × 80 columns

In [5]:
test.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1459 entries, 0 to 1458
Data columns (total 80 columns):
 #   Column                     Non-Null Count  Dtype  
---  ------                     --------------  -----  
 0   Id                         1459 non-null   int64  
 1   Building_Class             1459 non-null   int64  
 2   Zoning_Class               1455 non-null   object 
 3   Lot_Extent                 1232 non-null   float64
 4   Lot_Size                   1459 non-null   float64
 5   Road_Type                  1459 non-null   object 
 6   Lane_Type                  107 non-null    object 
 7   Property_Shape             1459 non-null   object 
 8   Land_Outline               1459 non-null   object 
 9   Utility_Type               1457 non-null   object 
 10  Lot_Configuration          1459 non-null   object 
 11  Property_Slope             1459 non-null   object 
 12  Neighborhood               1459 non-null   object 
 13  Condition1                 1459 non-null   object 
 14  Condition2                 1459 non-null   object 
 15  House_Type                 1459 non-null   object 
 16  House_Design               1459 non-null   object 
 17  Overall_Material           1459 non-null   int64  
 18  House_Condition            1459 non-null   int64  
 19  Construction_Year          1459 non-null   int64  
 20  Remodel_Year               1459 non-null   int64  
 21  Roof_Design                1459 non-null   object 
 22  Roof_Quality               1459 non-null   object 
 23  Exterior1st                1458 non-null   object 
 24  Exterior2nd                1458 non-null   object 
 25  Brick_Veneer_Type          1443 non-null   object 
 26  Brick_Veneer_Area          1444 non-null   float64
 27  Exterior_Material          1459 non-null   object 
 28  Exterior_Condition         1459 non-null   object 
 29  Foundation_Type            1459 non-null   object 
 30  Basement_Height            1415 non-null   object 
 31  Basement_Condition         1414 non-null   object 
 32  Exposure_Level             1415 non-null   object 
 33  BsmtFinType1               1417 non-null   object 
 34  BsmtFinSF1                 1458 non-null   float64
 35  BsmtFinType2               1417 non-null   object 
 36  BsmtFinSF2                 1458 non-null   float64
 37  BsmtUnfSF                  1458 non-null   float64
 38  Total_Basement_Area        1458 non-null   float64
 39  Heating_Type               1459 non-null   object 
 40  Heating_Quality            1459 non-null   object 
 41  Air_Conditioning           1459 non-null   object 
 42  Electrical_System          1459 non-null   object 
 43  First_Floor_Area           1459 non-null   int64  
 44  Second_Floor_Area          1459 non-null   int64  
 45  LowQualFinSF               1459 non-null   int64  
 46  Grade_Living_Area          1459 non-null   int64  
 47  Underground_Full_Bathroom  1457 non-null   float64
 48  Underground_Half_Bathroom  1457 non-null   float64
 49  Full_Bathroom_Above_Grade  1459 non-null   int64  
 50  Half_Bathroom_Above_Grade  1459 non-null   int64  
 51  Bedroom_Above_Grade        1459 non-null   int64  
 52  Kitchen_Above_Grade        1459 non-null   int64  
 53  Kitchen_Quality            1458 non-null   object 
 54  Rooms_Above_Grade          1459 non-null   int64  
 55  Functional_Rate            1457 non-null   object 
 56  Fireplaces                 1459 non-null   int64  
 57  Fireplace_Quality          729 non-null    object 
 58  Garage                     1383 non-null   object 
 59  Garage_Built_Year          1381 non-null   float64
 60  Garage_Finish_Year         1381 non-null   object 
 61  Garage_Size                1458 non-null   float64
 62  Garage_Area                1458 non-null   float64
 63  Garage_Quality             1381 non-null   object 
 64  Garage_Condition           1381 non-null   object 
 65  Pavedd_Drive               1459 non-null   object 
 66  W_Deck_Area                1459 non-null   int64  
 67  Open_Lobby_Area            1459 non-null   int64  
 68  Enclosed_Lobby_Area        1459 non-null   int64  
 69  Three_Season_Lobby_Area    1459 non-null   int64  
 70  Screen_Lobby_Area          1459 non-null   int64  
 71  Pool_Area                  1459 non-null   int64  
 72  Pool_Quality               3 non-null      object 
 73  Fence_Quality              290 non-null    object 
 74  Miscellaneous_Feature      51 non-null     object 
 75  Miscellaneous_Value        1459 non-null   int64  
 76  Month_Sold                 1459 non-null   int64  
 77  Year_Sold                  1459 non-null   int64  
 78  Sale_Type                  1458 non-null   object 
 79  Sale_Condition             1459 non-null   object 
dtypes: float64(12), int64(25), object(43)
memory usage: 912.0+ KB
In [6]:
train.head()    # target
Out[6]:
Id Building_Class Zoning_Class Lot_Extent Lot_Size Road_Type Lane_Type Property_Shape Land_Outline Utility_Type ... Pool_Area Pool_Quality Fence_Quality Miscellaneous_Feature Miscellaneous_Value Month_Sold Year_Sold Sale_Type Sale_Condition Sale_Price
0 1 60 RLD 65.0 8450 Paved NaN Reg Lvl AllPub ... 0 NaN NaN NaN 0 2 2008 WD Normal 208500
1 2 20 RLD 80.0 9600 Paved NaN Reg Lvl AllPub ... 0 NaN NaN NaN 0 5 2007 WD Normal 181500
2 3 60 RLD 68.0 11250 Paved NaN IR1 Lvl AllPub ... 0 NaN NaN NaN 0 9 2008 WD Normal 223500
3 4 70 RLD 60.0 9550 Paved NaN IR1 Lvl AllPub ... 0 NaN NaN NaN 0 2 2006 WD Abnorml 140000
4 5 60 RLD 84.0 14260 Paved NaN IR1 Lvl AllPub ... 0 NaN NaN NaN 0 12 2008 WD Normal 250000

5 rows × 81 columns

In [7]:
test.head()
Out[7]:
Id Building_Class Zoning_Class Lot_Extent Lot_Size Road_Type Lane_Type Property_Shape Land_Outline Utility_Type ... Screen_Lobby_Area Pool_Area Pool_Quality Fence_Quality Miscellaneous_Feature Miscellaneous_Value Month_Sold Year_Sold Sale_Type Sale_Condition
0 1461 20 RHD 80.0 16104.819760 Paved NaN Reg Lvl AllPub ... 120 0 NaN MnPrv NaN 0 6 2010 WD Normal
1 1462 20 RLD 81.0 15639.150810 Paved NaN IR1 Lvl AllPub ... 0 0 NaN NaN Gar2 12500 6 2010 WD Normal
2 1463 60 RLD 74.0 3849.428920 Paved NaN IR1 Lvl AllPub ... 0 0 NaN MnPrv NaN 0 3 2010 WD Normal
3 1464 60 RLD 78.0 4955.447942 Paved NaN IR1 Lvl AllPub ... 0 0 NaN NaN NaN 0 6 2010 WD Normal
4 1465 120 RLD 43.0 3046.604942 Paved NaN IR1 HLS AllPub ... 144 0 NaN NaN NaN 0 1 2010 WD Normal

5 rows × 80 columns

In [8]:
train.tail()
Out[8]:
Id Building_Class Zoning_Class Lot_Extent Lot_Size Road_Type Lane_Type Property_Shape Land_Outline Utility_Type ... Pool_Area Pool_Quality Fence_Quality Miscellaneous_Feature Miscellaneous_Value Month_Sold Year_Sold Sale_Type Sale_Condition Sale_Price
1454 1455 20 FVR 62.0 7500 Paved Paved Reg Lvl AllPub ... 0 NaN NaN NaN 0 10 2009 WD Normal 185000
1455 1456 60 RLD 62.0 7917 Paved NaN Reg Lvl AllPub ... 0 NaN NaN NaN 0 8 2007 WD Normal 175000
1456 1457 20 RLD 85.0 13175 Paved NaN Reg Lvl AllPub ... 0 NaN MnPrv NaN 0 2 2010 WD Normal 210000
1457 1458 70 RLD 66.0 9042 Paved NaN Reg Lvl AllPub ... 0 NaN GdPrv Shed 2500 5 2010 WD Normal 266500
1458 1459 20 RLD 68.0 9717 Paved NaN Reg Lvl AllPub ... 0 NaN NaN NaN 0 4 2010 WD Normal 142125

5 rows × 81 columns

In [9]:
test.tail()
Out[9]:
Id Building_Class Zoning_Class Lot_Extent Lot_Size Road_Type Lane_Type Property_Shape Land_Outline Utility_Type ... Screen_Lobby_Area Pool_Area Pool_Quality Fence_Quality Miscellaneous_Feature Miscellaneous_Value Month_Sold Year_Sold Sale_Type Sale_Condition
1454 2915 160 RMD 21.0 14584.838440 Paved NaN Reg Lvl AllPub ... 0 0 NaN NaN NaN 0 6 2006 WD NoRMDal
1455 2916 160 RMD 21.0 8072.991379 Paved NaN Reg Lvl AllPub ... 0 0 NaN NaN NaN 0 4 2006 WD AbnoRMDl
1456 2917 20 RLD 160.0 7367.775348 Paved NaN Reg Lvl AllPub ... 0 0 NaN NaN NaN 0 9 2006 WD Abnorml
1457 2918 85 RLD 62.0 2203.135444 Paved NaN Reg Lvl AllPub ... 0 0 NaN MnPrv Shed 700 7 2006 WD Normal
1458 2919 60 RLD 74.0 6253.431852 Paved NaN Reg Lvl AllPub ... 0 0 NaN NaN NaN 0 11 2006 WD Normal

5 rows × 80 columns

In [10]:
train.shape,test.shape
Out[10]:
((1459, 81), (1459, 80))

CHECK NULL VALUES OF TRAIN FILE AND REMOVE IT¶

In [11]:
train.describe()
Out[11]:
Id Building_Class Lot_Extent Lot_Size Overall_Material House_Condition Construction_Year Remodel_Year Brick_Veneer_Area BsmtFinSF1 ... W_Deck_Area Open_Lobby_Area Enclosed_Lobby_Area Three_Season_Lobby_Area Screen_Lobby_Area Pool_Area Miscellaneous_Value Month_Sold Year_Sold Sale_Price
count 1459.000000 1459.000000 1200.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1451.00000 1459.000000 ... 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000
mean 730.000000 56.922550 70.045833 10517.225497 6.100069 5.575051 1971.272104 1984.879369 103.75672 443.374914 ... 93.015667 47.811902 24.580227 3.411926 15.071282 2.760795 43.518849 6.322138 2007.815627 180944.102810
std 421.321334 42.304033 24.294456 9984.675721 1.383171 1.113125 30.212814 20.645927 181.10815 456.142186 ... 124.796682 67.467586 61.353507 29.327247 55.775138 40.191018 496.291826 2.704540 1.328542 79464.918335
min 1.000000 20.000000 21.000000 1300.000000 1.000000 1.000000 1872.000000 1950.000000 0.00000 0.000000 ... -338.112031 -187.149958 -164.807386 0.000000 0.000000 0.000000 0.000000 1.000000 2006.000000 34900.000000
25% 365.500000 20.000000 59.000000 7549.000000 5.000000 5.000000 1954.000000 1967.000000 0.00000 0.000000 ... 9.656026 1.843186 -16.807302 0.000000 0.000000 0.000000 0.000000 5.000000 2007.000000 129950.000000
50% 730.000000 50.000000 69.000000 9477.000000 6.000000 5.000000 1973.000000 1994.000000 0.00000 383.000000 ... 92.803628 46.837919 25.026953 0.000000 0.000000 0.000000 0.000000 6.000000 2008.000000 163000.000000
75% 1094.500000 70.000000 80.000000 11603.000000 7.000000 6.000000 2000.000000 2004.000000 166.00000 712.000000 ... 180.335986 96.523486 66.237591 0.000000 0.000000 0.000000 0.000000 8.000000 2009.000000 214000.000000
max 1459.000000 190.000000 313.000000 215245.000000 10.000000 9.000000 2010.000000 2010.000000 1600.00000 5644.000000 ... 572.298709 255.362547 225.762714 508.000000 480.000000 738.000000 15500.000000 12.000000 2010.000000 755000.000000

8 rows × 38 columns

In [12]:
pd.set_option("display.max_rows",None)
pd.set_option("display.max_columns",None)
train.drop_duplicates()
train.duplicated().value_counts()
Out[12]:
False    1459
dtype: int64
In [13]:
train.isnull().sum()  #null values
Out[13]:
Id                              0
Building_Class                  0
Zoning_Class                    0
Lot_Extent                    259
Lot_Size                        0
Road_Type                       0
Lane_Type                    1368
Property_Shape                  0
Land_Outline                    0
Utility_Type                    0
Lot_Configuration               0
Property_Slope                  0
Neighborhood                    0
Condition1                      0
Condition2                      0
House_Type                      0
House_Design                    0
Overall_Material                0
House_Condition                 0
Construction_Year               0
Remodel_Year                    0
Roof_Design                     0
Roof_Quality                    0
Exterior1st                     0
Exterior2nd                     0
Brick_Veneer_Type               8
Brick_Veneer_Area               8
Exterior_Material               0
Exterior_Condition              0
Foundation_Type                 0
Basement_Height                37
Basement_Condition             37
Exposure_Level                 38
BsmtFinType1                   37
BsmtFinSF1                      0
BsmtFinType2                   38
BsmtFinSF2                      0
BsmtUnfSF                       0
Total_Basement_Area             0
Heating_Type                    0
Heating_Quality                 0
Air_Conditioning                0
Electrical_System               1
First_Floor_Area                0
Second_Floor_Area               0
LowQualFinSF                    0
Grade_Living_Area               0
Underground_Full_Bathroom       0
Underground_Half_Bathroom       0
Full_Bathroom_Above_Grade       0
Half_Bathroom_Above_Grade       0
Bedroom_Above_Grade             0
Kitchen_Above_Grade             0
Kitchen_Quality                 0
Rooms_Above_Grade               0
Functional_Rate                 0
Fireplaces                      0
Fireplace_Quality             689
Garage                         81
Garage_Built_Year              81
Garage_Finish_Year             81
Garage_Size                     0
Garage_Area                     0
Garage_Quality                 81
Garage_Condition               81
Pavedd_Drive                    0
W_Deck_Area                     0
Open_Lobby_Area                 0
Enclosed_Lobby_Area             0
Three_Season_Lobby_Area         0
Screen_Lobby_Area               0
Pool_Area                       0
Pool_Quality                 1452
Fence_Quality                1178
Miscellaneous_Feature        1405
Miscellaneous_Value             0
Month_Sold                      0
Year_Sold                       0
Sale_Type                       0
Sale_Condition                  0
Sale_Price                      0
dtype: int64
In [14]:
100*train.isnull().sum()/len(train)          #PERCENTAGE OF VALUE COUNTS
Out[14]:
Id                            0.000000
Building_Class                0.000000
Zoning_Class                  0.000000
Lot_Extent                   17.751885
Lot_Size                      0.000000
Road_Type                     0.000000
Lane_Type                    93.762851
Property_Shape                0.000000
Land_Outline                  0.000000
Utility_Type                  0.000000
Lot_Configuration             0.000000
Property_Slope                0.000000
Neighborhood                  0.000000
Condition1                    0.000000
Condition2                    0.000000
House_Type                    0.000000
House_Design                  0.000000
Overall_Material              0.000000
House_Condition               0.000000
Construction_Year             0.000000
Remodel_Year                  0.000000
Roof_Design                   0.000000
Roof_Quality                  0.000000
Exterior1st                   0.000000
Exterior2nd                   0.000000
Brick_Veneer_Type             0.548321
Brick_Veneer_Area             0.548321
Exterior_Material             0.000000
Exterior_Condition            0.000000
Foundation_Type               0.000000
Basement_Height               2.535984
Basement_Condition            2.535984
Exposure_Level                2.604524
BsmtFinType1                  2.535984
BsmtFinSF1                    0.000000
BsmtFinType2                  2.604524
BsmtFinSF2                    0.000000
BsmtUnfSF                     0.000000
Total_Basement_Area           0.000000
Heating_Type                  0.000000
Heating_Quality               0.000000
Air_Conditioning              0.000000
Electrical_System             0.068540
First_Floor_Area              0.000000
Second_Floor_Area             0.000000
LowQualFinSF                  0.000000
Grade_Living_Area             0.000000
Underground_Full_Bathroom     0.000000
Underground_Half_Bathroom     0.000000
Full_Bathroom_Above_Grade     0.000000
Half_Bathroom_Above_Grade     0.000000
Bedroom_Above_Grade           0.000000
Kitchen_Above_Grade           0.000000
Kitchen_Quality               0.000000
Rooms_Above_Grade             0.000000
Functional_Rate               0.000000
Fireplaces                    0.000000
Fireplace_Quality            47.224126
Garage                        5.551748
Garage_Built_Year             5.551748
Garage_Finish_Year            5.551748
Garage_Size                   0.000000
Garage_Area                   0.000000
Garage_Quality                5.551748
Garage_Condition              5.551748
Pavedd_Drive                  0.000000
W_Deck_Area                   0.000000
Open_Lobby_Area               0.000000
Enclosed_Lobby_Area           0.000000
Three_Season_Lobby_Area       0.000000
Screen_Lobby_Area             0.000000
Pool_Area                     0.000000
Pool_Quality                 99.520219
Fence_Quality                80.740233
Miscellaneous_Feature        96.298835
Miscellaneous_Value           0.000000
Month_Sold                    0.000000
Year_Sold                     0.000000
Sale_Type                     0.000000
Sale_Condition                0.000000
Sale_Price                    0.000000
dtype: float64
In [15]:
train=train.drop(["Lane_Type","Pool_Quality","Fireplace_Quality","Fence_Quality","Miscellaneous_Feature","Garage_Built_Year","Garage_Finish_Year","Month_Sold","Year_Sold","Miscellaneous_Value","Brick_Veneer_Area","Brick_Veneer_Type"],axis=1)
In [16]:
train.isnull().sum()
Out[16]:
Id                             0
Building_Class                 0
Zoning_Class                   0
Lot_Extent                   259
Lot_Size                       0
Road_Type                      0
Property_Shape                 0
Land_Outline                   0
Utility_Type                   0
Lot_Configuration              0
Property_Slope                 0
Neighborhood                   0
Condition1                     0
Condition2                     0
House_Type                     0
House_Design                   0
Overall_Material               0
House_Condition                0
Construction_Year              0
Remodel_Year                   0
Roof_Design                    0
Roof_Quality                   0
Exterior1st                    0
Exterior2nd                    0
Exterior_Material              0
Exterior_Condition             0
Foundation_Type                0
Basement_Height               37
Basement_Condition            37
Exposure_Level                38
BsmtFinType1                  37
BsmtFinSF1                     0
BsmtFinType2                  38
BsmtFinSF2                     0
BsmtUnfSF                      0
Total_Basement_Area            0
Heating_Type                   0
Heating_Quality                0
Air_Conditioning               0
Electrical_System              1
First_Floor_Area               0
Second_Floor_Area              0
LowQualFinSF                   0
Grade_Living_Area              0
Underground_Full_Bathroom      0
Underground_Half_Bathroom      0
Full_Bathroom_Above_Grade      0
Half_Bathroom_Above_Grade      0
Bedroom_Above_Grade            0
Kitchen_Above_Grade            0
Kitchen_Quality                0
Rooms_Above_Grade              0
Functional_Rate                0
Fireplaces                     0
Garage                        81
Garage_Size                    0
Garage_Area                    0
Garage_Quality                81
Garage_Condition              81
Pavedd_Drive                   0
W_Deck_Area                    0
Open_Lobby_Area                0
Enclosed_Lobby_Area            0
Three_Season_Lobby_Area        0
Screen_Lobby_Area              0
Pool_Area                      0
Sale_Type                      0
Sale_Condition                 0
Sale_Price                     0
dtype: int64
In [17]:
#train.Lot_Extent.value_counts()
#train.Basement_Height.value_counts()
#train.Basement_Condition.value_counts()
#train.Exposure_Level.value_counts()
#train.BsmtFinType1.value_counts()
#train.BsmtFinType2.value_counts()
#train.Electrical_System.value_counts()
#train.Garage.value_counts()
#train.Garage_Quality.value_counts()
train.Garage_Condition.value_counts()
Out[17]:
TA    1325
Fa      35
Gd       9
Po       7
Ex       2
Name: Garage_Condition, dtype: int64
In [18]:
train.Lot_Extent=train.Lot_Extent.fillna(train.Lot_Extent.mean()) 
train.Basement_Height=train.Basement_Height.fillna("Fa")
train.Basement_Condition=train.Basement_Condition.fillna("Po")
train.Exposure_Level=train.Exposure_Level.fillna("Mn")
train.BsmtFinType1=train.BsmtFinType1.fillna("LwQ")
train.BsmtFinType2=train.BsmtFinType2.fillna("GLQ")
train.Electrical_System=train.Electrical_System.fillna("Mix")
train.Garage=train.Garage.fillna("2Types")
train.Garage_Quality=train.Garage_Quality.fillna("Po")
train.Garage_Condition=train.Garage_Condition.fillna("Ex")
In [19]:
train.isnull().sum()  #null values
Out[19]:
Id                           0
Building_Class               0
Zoning_Class                 0
Lot_Extent                   0
Lot_Size                     0
Road_Type                    0
Property_Shape               0
Land_Outline                 0
Utility_Type                 0
Lot_Configuration            0
Property_Slope               0
Neighborhood                 0
Condition1                   0
Condition2                   0
House_Type                   0
House_Design                 0
Overall_Material             0
House_Condition              0
Construction_Year            0
Remodel_Year                 0
Roof_Design                  0
Roof_Quality                 0
Exterior1st                  0
Exterior2nd                  0
Exterior_Material            0
Exterior_Condition           0
Foundation_Type              0
Basement_Height              0
Basement_Condition           0
Exposure_Level               0
BsmtFinType1                 0
BsmtFinSF1                   0
BsmtFinType2                 0
BsmtFinSF2                   0
BsmtUnfSF                    0
Total_Basement_Area          0
Heating_Type                 0
Heating_Quality              0
Air_Conditioning             0
Electrical_System            0
First_Floor_Area             0
Second_Floor_Area            0
LowQualFinSF                 0
Grade_Living_Area            0
Underground_Full_Bathroom    0
Underground_Half_Bathroom    0
Full_Bathroom_Above_Grade    0
Half_Bathroom_Above_Grade    0
Bedroom_Above_Grade          0
Kitchen_Above_Grade          0
Kitchen_Quality              0
Rooms_Above_Grade            0
Functional_Rate              0
Fireplaces                   0
Garage                       0
Garage_Size                  0
Garage_Area                  0
Garage_Quality               0
Garage_Condition             0
Pavedd_Drive                 0
W_Deck_Area                  0
Open_Lobby_Area              0
Enclosed_Lobby_Area          0
Three_Season_Lobby_Area      0
Screen_Lobby_Area            0
Pool_Area                    0
Sale_Type                    0
Sale_Condition               0
Sale_Price                   0
dtype: int64

CHECK DATA TYPES OF TRAIN FILE AND CONVERSION FROM CATEG. TO NUMER¶

In [20]:
train.dtypes
Out[20]:
Id                             int64
Building_Class                 int64
Zoning_Class                  object
Lot_Extent                   float64
Lot_Size                       int64
Road_Type                     object
Property_Shape                object
Land_Outline                  object
Utility_Type                  object
Lot_Configuration             object
Property_Slope                object
Neighborhood                  object
Condition1                    object
Condition2                    object
House_Type                    object
House_Design                  object
Overall_Material               int64
House_Condition                int64
Construction_Year              int64
Remodel_Year                   int64
Roof_Design                   object
Roof_Quality                  object
Exterior1st                   object
Exterior2nd                   object
Exterior_Material             object
Exterior_Condition            object
Foundation_Type               object
Basement_Height               object
Basement_Condition            object
Exposure_Level                object
BsmtFinType1                  object
BsmtFinSF1                     int64
BsmtFinType2                  object
BsmtFinSF2                     int64
BsmtUnfSF                      int64
Total_Basement_Area            int64
Heating_Type                  object
Heating_Quality               object
Air_Conditioning              object
Electrical_System             object
First_Floor_Area               int64
Second_Floor_Area              int64
LowQualFinSF                   int64
Grade_Living_Area              int64
Underground_Full_Bathroom      int64
Underground_Half_Bathroom      int64
Full_Bathroom_Above_Grade      int64
Half_Bathroom_Above_Grade      int64
Bedroom_Above_Grade            int64
Kitchen_Above_Grade            int64
Kitchen_Quality               object
Rooms_Above_Grade              int64
Functional_Rate               object
Fireplaces                     int64
Garage                        object
Garage_Size                    int64
Garage_Area                  float64
Garage_Quality                object
Garage_Condition              object
Pavedd_Drive                  object
W_Deck_Area                  float64
Open_Lobby_Area              float64
Enclosed_Lobby_Area          float64
Three_Season_Lobby_Area        int64
Screen_Lobby_Area              int64
Pool_Area                      int64
Sale_Type                     object
Sale_Condition                object
Sale_Price                     int64
dtype: object
In [21]:
#train.Lot_Extent.value_counts()
#train.Zoning_Class.value_counts()
#train.Road_Type.value_counts()
#train.Property_Shape.value_counts()
#train.Land_Outline.value_counts()
#train.Utility_Type.value_counts()
#train.Neighborhood.value_counts()
#train.Lot_Configuration.value_counts()
#train.Property_Slope.value_counts()
#train.Condition1.value_counts()
#train.Condition2.value_counts()
#train.House_Type.value_counts()
#train.House_Design.value_counts()
#train.Roof_Design.value_counts()
#train.Roof_Quality.value_counts()
#train.Exterior1st.value_counts()
#train.Exterior2nd.value_counts()
#train.Exterior_Material.value_counts()
#train.Exterior_Condition.value_counts()
#train.Foundation_Type.value_counts()
#train.Basement_Height.value_counts()
#train.Basement_Condition.value_counts()
#train.Exposure_Level.value_counts()
#train.BsmtFinType2.value_counts()
#train.Heating_Type.value_counts()
#train.Heating_Quality.value_counts()
#train.Air_Conditioning.value_counts()
#train.Kitchen_Quality.value_counts()
#train.Functional_Rate.value_counts()
#train.Garage.value_counts()
#train.Garage_Quality.value_counts()
#train.Garage_Condition.value_counts()
#train.Pavedd_Drive.value_counts()
#train.Sale_Type.value_counts()
#train.Sale_Condition.value_counts()
#train.BsmtFinType1.value_counts()
#train.Electrical_System.value_counts()
In [22]:
from sklearn.preprocessing import LabelEncoder
le=LabelEncoder()
In [23]:
train.Zoning_Class=le.fit_transform(train.Zoning_Class)
train.Road_Type=le.fit_transform(train.Road_Type)
train.Property_Shape=le.fit_transform(train.Property_Shape)
train.Land_Outline=le.fit_transform(train.Land_Outline)
train.Utility_Type=le.fit_transform(train.Utility_Type)
train.Neighborhood=le.fit_transform(train.Neighborhood)
train.Lot_Configuration=le.fit_transform(train.Lot_Configuration)
train.Property_Slope=le.fit_transform(train.Property_Slope)
train.Condition1=le.fit_transform(train.Condition1)
train.Condition2=le.fit_transform(train.Condition2)
train.House_Type=le.fit_transform(train.House_Type)
train.House_Design=le.fit_transform(train.House_Design)
train.Roof_Design=le.fit_transform(train.Roof_Design)
train.Roof_Quality=le.fit_transform(train.Roof_Quality)
train.Exterior1st=le.fit_transform(train.Exterior1st)
train.Exterior2nd=le.fit_transform(train.Exterior2nd)
train.Exterior_Material=le.fit_transform(train.Exterior_Material)
train.Exterior_Condition=le.fit_transform(train.Exterior_Condition)
train.Foundation_Type=le.fit_transform(train.Foundation_Type)
train.Basement_Height=le.fit_transform(train.Basement_Height)
train.Basement_Condition=le.fit_transform(train.Basement_Condition)
train.Exposure_Level=le.fit_transform(train.Exposure_Level)
train.BsmtFinType2=le.fit_transform(train.BsmtFinType2)
train.Heating_Type=le.fit_transform(train.Heating_Type)
train.Heating_Quality=le.fit_transform(train.Heating_Quality)
train.Air_Conditioning=le.fit_transform(train.Air_Conditioning)
train.Kitchen_Quality=le.fit_transform(train.Kitchen_Quality)
train.Functional_Rate=le.fit_transform(train.Functional_Rate)
train.Garage=le.fit_transform(train.Garage)
train.Garage_Quality=le.fit_transform(train.Garage_Quality)
train.Garage_Condition=le.fit_transform(train.Garage_Condition)
train.Pavedd_Drive=le.fit_transform(train.Pavedd_Drive)
train.Sale_Type=le.fit_transform(train.Sale_Type)
train.Sale_Condition=le.fit_transform(train.Sale_Condition)
train.BsmtFinType1=le.fit_transform(train.BsmtFinType1)
train.Electrical_System=le.fit_transform(train.Electrical_System)
In [24]:
train['Lot_Extent']=pd.to_numeric(train['Lot_Extent'],errors='coerce')
train['Lot_Extent']=train['Lot_Extent'].astype('int64')
train['Garage_Area']=pd.to_numeric(train['Garage_Area'],errors='coerce')
train['Garage_Area']=train['Garage_Area'].astype('int64')
train['W_Deck_Area']=pd.to_numeric(train['W_Deck_Area'],errors='coerce')
train['W_Deck_Area']=train['W_Deck_Area'].astype('int64')
train['Open_Lobby_Area']=pd.to_numeric(train['Open_Lobby_Area'],errors='coerce')
train['Open_Lobby_Area']=train['Open_Lobby_Area'].astype('int64')
train['Enclosed_Lobby_Area']=pd.to_numeric(train['Enclosed_Lobby_Area'],errors='coerce')
train['Enclosed_Lobby_Area']=train['Enclosed_Lobby_Area'].astype('int64')

test data check null values and remove it¶

In [25]:
test.describe()
Out[25]:
Id Building_Class Lot_Extent Lot_Size Overall_Material House_Condition Construction_Year Remodel_Year Brick_Veneer_Area BsmtFinSF1 BsmtFinSF2 BsmtUnfSF Total_Basement_Area First_Floor_Area Second_Floor_Area LowQualFinSF Grade_Living_Area Underground_Full_Bathroom Underground_Half_Bathroom Full_Bathroom_Above_Grade Half_Bathroom_Above_Grade Bedroom_Above_Grade Kitchen_Above_Grade Rooms_Above_Grade Fireplaces Garage_Built_Year Garage_Size Garage_Area W_Deck_Area Open_Lobby_Area Enclosed_Lobby_Area Three_Season_Lobby_Area Screen_Lobby_Area Pool_Area Miscellaneous_Value Month_Sold Year_Sold
count 1459.000000 1459.000000 1232.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1444.000000 1458.000000 1458.000000 1458.000000 1458.000000 1459.000000 1459.000000 1459.000000 1459.000000 1457.000000 1457.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.00000 1381.000000 1458.000000 1458.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000 1459.000000
mean 2190.000000 57.378341 68.580357 9872.044418 6.078821 5.553804 1971.357779 1983.662783 100.709141 439.203704 52.619342 554.294925 1046.117970 1156.534613 325.967786 3.543523 1486.045922 0.434454 0.065202 1.570939 0.377656 2.854010 1.042495 6.385195 0.58122 1977.721217 1.766118 472.768861 93.174777 48.313914 24.243317 1.794380 17.064428 1.744345 58.167923 6.104181 2007.769705
std 421.321334 42.746880 22.376841 4960.234751 1.436812 1.113740 30.390071 21.130467 177.625900 455.268042 176.753926 437.260486 442.898624 398.165820 420.610226 44.043251 485.566099 0.530648 0.252468 0.555190 0.503017 0.829788 0.208472 1.508895 0.64742 26.431175 0.775945 217.048611 127.744882 68.883364 67.227765 20.207842 56.609763 30.491646 630.806978 2.722432 1.301740
min 1461.000000 20.000000 21.000000 -4265.104479 1.000000 1.000000 1879.000000 1950.000000 0.000000 0.000000 0.000000 0.000000 0.000000 407.000000 0.000000 0.000000 407.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 3.000000 0.00000 1895.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 1.000000 2006.000000
25% 1825.500000 20.000000 58.000000 6351.984222 5.000000 5.000000 1953.000000 1963.000000 0.000000 0.000000 0.000000 219.250000 784.000000 873.500000 0.000000 0.000000 1117.500000 0.000000 0.000000 1.000000 0.000000 2.000000 1.000000 5.000000 0.00000 1959.000000 1.000000 318.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 4.000000 2007.000000
50% 2190.000000 50.000000 67.000000 9784.907361 6.000000 5.000000 1973.000000 1992.000000 0.000000 350.500000 0.000000 460.000000 988.000000 1079.000000 0.000000 0.000000 1432.000000 0.000000 0.000000 2.000000 0.000000 3.000000 1.000000 6.000000 0.00000 1979.000000 2.000000 480.000000 0.000000 28.000000 0.000000 0.000000 0.000000 0.000000 0.000000 6.000000 2008.000000
75% 2554.500000 70.000000 80.000000 13208.971525 7.000000 6.000000 2001.000000 2004.000000 164.000000 753.500000 0.000000 797.750000 1305.000000 1382.500000 676.000000 0.000000 1721.000000 1.000000 0.000000 2.000000 1.000000 3.000000 1.000000 7.000000 1.00000 2002.000000 2.000000 576.000000 168.000000 72.000000 0.000000 0.000000 0.000000 0.000000 0.000000 8.000000 2009.000000
max 2919.000000 190.000000 200.000000 26126.190300 10.000000 9.000000 2010.000000 2010.000000 1290.000000 4010.000000 1526.000000 2140.000000 5095.000000 5095.000000 1862.000000 1064.000000 5095.000000 3.000000 2.000000 4.000000 2.000000 6.000000 2.000000 15.000000 4.00000 2207.000000 5.000000 1488.000000 1424.000000 742.000000 1012.000000 360.000000 576.000000 800.000000 17000.000000 12.000000 2010.000000
In [26]:
pd.set_option("display.max_rows",None)
pd.set_option("display.max_columns",None)
test.drop_duplicates()
test.duplicated().value_counts()
Out[26]:
False    1459
dtype: int64
In [27]:
test.isnull().sum()     #null values
Out[27]:
Id                              0
Building_Class                  0
Zoning_Class                    4
Lot_Extent                    227
Lot_Size                        0
Road_Type                       0
Lane_Type                    1352
Property_Shape                  0
Land_Outline                    0
Utility_Type                    2
Lot_Configuration               0
Property_Slope                  0
Neighborhood                    0
Condition1                      0
Condition2                      0
House_Type                      0
House_Design                    0
Overall_Material                0
House_Condition                 0
Construction_Year               0
Remodel_Year                    0
Roof_Design                     0
Roof_Quality                    0
Exterior1st                     1
Exterior2nd                     1
Brick_Veneer_Type              16
Brick_Veneer_Area              15
Exterior_Material               0
Exterior_Condition              0
Foundation_Type                 0
Basement_Height                44
Basement_Condition             45
Exposure_Level                 44
BsmtFinType1                   42
BsmtFinSF1                      1
BsmtFinType2                   42
BsmtFinSF2                      1
BsmtUnfSF                       1
Total_Basement_Area             1
Heating_Type                    0
Heating_Quality                 0
Air_Conditioning                0
Electrical_System               0
First_Floor_Area                0
Second_Floor_Area               0
LowQualFinSF                    0
Grade_Living_Area               0
Underground_Full_Bathroom       2
Underground_Half_Bathroom       2
Full_Bathroom_Above_Grade       0
Half_Bathroom_Above_Grade       0
Bedroom_Above_Grade             0
Kitchen_Above_Grade             0
Kitchen_Quality                 1
Rooms_Above_Grade               0
Functional_Rate                 2
Fireplaces                      0
Fireplace_Quality             730
Garage                         76
Garage_Built_Year              78
Garage_Finish_Year             78
Garage_Size                     1
Garage_Area                     1
Garage_Quality                 78
Garage_Condition               78
Pavedd_Drive                    0
W_Deck_Area                     0
Open_Lobby_Area                 0
Enclosed_Lobby_Area             0
Three_Season_Lobby_Area         0
Screen_Lobby_Area               0
Pool_Area                       0
Pool_Quality                 1456
Fence_Quality                1169
Miscellaneous_Feature        1408
Miscellaneous_Value             0
Month_Sold                      0
Year_Sold                       0
Sale_Type                       1
Sale_Condition                  0
dtype: int64
In [28]:
100*test.isnull().sum()/len(test)
Out[28]:
Id                            0.000000
Building_Class                0.000000
Zoning_Class                  0.274160
Lot_Extent                   15.558602
Lot_Size                      0.000000
Road_Type                     0.000000
Lane_Type                    92.666210
Property_Shape                0.000000
Land_Outline                  0.000000
Utility_Type                  0.137080
Lot_Configuration             0.000000
Property_Slope                0.000000
Neighborhood                  0.000000
Condition1                    0.000000
Condition2                    0.000000
House_Type                    0.000000
House_Design                  0.000000
Overall_Material              0.000000
House_Condition               0.000000
Construction_Year             0.000000
Remodel_Year                  0.000000
Roof_Design                   0.000000
Roof_Quality                  0.000000
Exterior1st                   0.068540
Exterior2nd                   0.068540
Brick_Veneer_Type             1.096642
Brick_Veneer_Area             1.028101
Exterior_Material             0.000000
Exterior_Condition            0.000000
Foundation_Type               0.000000
Basement_Height               3.015764
Basement_Condition            3.084304
Exposure_Level                3.015764
BsmtFinType1                  2.878684
BsmtFinSF1                    0.068540
BsmtFinType2                  2.878684
BsmtFinSF2                    0.068540
BsmtUnfSF                     0.068540
Total_Basement_Area           0.068540
Heating_Type                  0.000000
Heating_Quality               0.000000
Air_Conditioning              0.000000
Electrical_System             0.000000
First_Floor_Area              0.000000
Second_Floor_Area             0.000000
LowQualFinSF                  0.000000
Grade_Living_Area             0.000000
Underground_Full_Bathroom     0.137080
Underground_Half_Bathroom     0.137080
Full_Bathroom_Above_Grade     0.000000
Half_Bathroom_Above_Grade     0.000000
Bedroom_Above_Grade           0.000000
Kitchen_Above_Grade           0.000000
Kitchen_Quality               0.068540
Rooms_Above_Grade             0.000000
Functional_Rate               0.137080
Fireplaces                    0.000000
Fireplace_Quality            50.034270
Garage                        5.209047
Garage_Built_Year             5.346127
Garage_Finish_Year            5.346127
Garage_Size                   0.068540
Garage_Area                   0.068540
Garage_Quality                5.346127
Garage_Condition              5.346127
Pavedd_Drive                  0.000000
W_Deck_Area                   0.000000
Open_Lobby_Area               0.000000
Enclosed_Lobby_Area           0.000000
Three_Season_Lobby_Area       0.000000
Screen_Lobby_Area             0.000000
Pool_Area                     0.000000
Pool_Quality                 99.794380
Fence_Quality                80.123372
Miscellaneous_Feature        96.504455
Miscellaneous_Value           0.000000
Month_Sold                    0.000000
Year_Sold                     0.000000
Sale_Type                     0.068540
Sale_Condition                0.000000
dtype: float64
In [29]:
test=test.drop(["Lane_Type","Fireplace_Quality","Pool_Quality","Fence_Quality","Miscellaneous_Feature","Brick_Veneer_Area","Garage_Built_Year","Month_Sold","Year_Sold","Garage_Finish_Year","Miscellaneous_Value","Brick_Veneer_Type","Miscellaneous_Value"],axis=1)
In [30]:
test.Zoning_Class.value_counts()
test.Lot_Extent.value_counts()
test.Utility_Type.value_counts()
test.Exterior1st.value_counts()
test.Basement_Height.value_counts()
test.Basement_Condition.value_counts()
test.Exposure_Level.value_counts()
test.BsmtFinType1.value_counts()
test.BsmtFinSF1.value_counts()
test.BsmtFinType2.value_counts()
test.BsmtFinSF2.value_counts()
test.BsmtUnfSF.value_counts()
test.Total_Basement_Area.value_counts()
test.Underground_Full_Bathroom.value_counts()
test.Underground_Half_Bathroom.value_counts()
test.Kitchen_Quality.value_counts()
test.Functional_Rate.value_counts()
test.Garage.value_counts()
test.Garage_Size.value_counts()
test.Garage_Area.value_counts()
test.Garage_Quality.value_counts()
test.Garage_Condition.value_counts()
test.Sale_Type.value_counts()
Out[30]:
WD       1258
New       117
COD        44
ConLD      17
CWD         8
Oth         4
ConLI       4
Con         3
ConLw       3
Name: Sale_Type, dtype: int64
In [31]:
test.Zoning_Class=test.Zoning_Class.fillna("RHD")
test.Lot_Extent=test.Lot_Extent.fillna(test.Lot_Extent.mean())
test.Utility_Type=test.Utility_Type.fillna("AllPub")
test.Exterior1st=test.Exterior1st.fillna("CB")
test.Exterior2nd=test.Exterior2nd.fillna("Stone")
test.Basement_Height=test.Basement_Height.fillna("Fa")
test.Basement_Condition=test.Basement_Condition.fillna("Po")
test.Exposure_Level=test.Exposure_Level.fillna("Mn")
test.BsmtFinType1=test.BsmtFinType1.fillna("LwQ")
test.BsmtFinSF1=test.BsmtFinSF1.fillna(test.BsmtFinSF1.mean())
test.BsmtFinType2=test.BsmtFinType2.fillna("GLQ")
test.BsmtFinSF2=test.BsmtFinSF2.fillna(test.BsmtFinSF2.mean())
test.BsmtUnfSF=test.BsmtUnfSF.fillna(test.BsmtUnfSF.mean())
test.Total_Basement_Area=test.Total_Basement_Area.fillna(test.Total_Basement_Area.mean())
test.Underground_Full_Bathroom=test.Underground_Full_Bathroom.fillna(3.0)
test.Underground_Half_Bathroom=test.Underground_Half_Bathroom.fillna(2.0)
test.Kitchen_Quality=test.Kitchen_Quality.fillna("Fa")
test.Functional_Rate=test.Functional_Rate.fillna("MS")
test.Garage=test.Garage.fillna("CarPort")
test.Garage_Size=test.Garage_Size.fillna(test.Garage_Size.mean())
test.Garage_Area=test.Garage_Area.fillna(test.Garage_Area.mean())
test.Garage_Quality=test.Garage_Quality.fillna("Po")
test.Garage_Condition=test.Garage_Condition.fillna("Ex")
test.Sale_Type=test.Sale_Type.fillna("Con")
In [32]:
test.isnull().sum()
Out[32]:
Id                           0
Building_Class               0
Zoning_Class                 0
Lot_Extent                   0
Lot_Size                     0
Road_Type                    0
Property_Shape               0
Land_Outline                 0
Utility_Type                 0
Lot_Configuration            0
Property_Slope               0
Neighborhood                 0
Condition1                   0
Condition2                   0
House_Type                   0
House_Design                 0
Overall_Material             0
House_Condition              0
Construction_Year            0
Remodel_Year                 0
Roof_Design                  0
Roof_Quality                 0
Exterior1st                  0
Exterior2nd                  0
Exterior_Material            0
Exterior_Condition           0
Foundation_Type              0
Basement_Height              0
Basement_Condition           0
Exposure_Level               0
BsmtFinType1                 0
BsmtFinSF1                   0
BsmtFinType2                 0
BsmtFinSF2                   0
BsmtUnfSF                    0
Total_Basement_Area          0
Heating_Type                 0
Heating_Quality              0
Air_Conditioning             0
Electrical_System            0
First_Floor_Area             0
Second_Floor_Area            0
LowQualFinSF                 0
Grade_Living_Area            0
Underground_Full_Bathroom    0
Underground_Half_Bathroom    0
Full_Bathroom_Above_Grade    0
Half_Bathroom_Above_Grade    0
Bedroom_Above_Grade          0
Kitchen_Above_Grade          0
Kitchen_Quality              0
Rooms_Above_Grade            0
Functional_Rate              0
Fireplaces                   0
Garage                       0
Garage_Size                  0
Garage_Area                  0
Garage_Quality               0
Garage_Condition             0
Pavedd_Drive                 0
W_Deck_Area                  0
Open_Lobby_Area              0
Enclosed_Lobby_Area          0
Three_Season_Lobby_Area      0
Screen_Lobby_Area            0
Pool_Area                    0
Sale_Type                    0
Sale_Condition               0
dtype: int64

test data check dtypes and convert categ to numer¶

In [33]:
test.dtypes          #check data types of test file
Out[33]:
Id                             int64
Building_Class                 int64
Zoning_Class                  object
Lot_Extent                   float64
Lot_Size                     float64
Road_Type                     object
Property_Shape                object
Land_Outline                  object
Utility_Type                  object
Lot_Configuration             object
Property_Slope                object
Neighborhood                  object
Condition1                    object
Condition2                    object
House_Type                    object
House_Design                  object
Overall_Material               int64
House_Condition                int64
Construction_Year              int64
Remodel_Year                   int64
Roof_Design                   object
Roof_Quality                  object
Exterior1st                   object
Exterior2nd                   object
Exterior_Material             object
Exterior_Condition            object
Foundation_Type               object
Basement_Height               object
Basement_Condition            object
Exposure_Level                object
BsmtFinType1                  object
BsmtFinSF1                   float64
BsmtFinType2                  object
BsmtFinSF2                   float64
BsmtUnfSF                    float64
Total_Basement_Area          float64
Heating_Type                  object
Heating_Quality               object
Air_Conditioning              object
Electrical_System             object
First_Floor_Area               int64
Second_Floor_Area              int64
LowQualFinSF                   int64
Grade_Living_Area              int64
Underground_Full_Bathroom    float64
Underground_Half_Bathroom    float64
Full_Bathroom_Above_Grade      int64
Half_Bathroom_Above_Grade      int64
Bedroom_Above_Grade            int64
Kitchen_Above_Grade            int64
Kitchen_Quality               object
Rooms_Above_Grade              int64
Functional_Rate               object
Fireplaces                     int64
Garage                        object
Garage_Size                  float64
Garage_Area                  float64
Garage_Quality                object
Garage_Condition              object
Pavedd_Drive                  object
W_Deck_Area                    int64
Open_Lobby_Area                int64
Enclosed_Lobby_Area            int64
Three_Season_Lobby_Area        int64
Screen_Lobby_Area              int64
Pool_Area                      int64
Sale_Type                     object
Sale_Condition                object
dtype: object
In [34]:
from sklearn.preprocessing import LabelEncoder
le=LabelEncoder()
In [35]:
test.Zoning_Class=le.fit_transform(test.Zoning_Class)
test.Road_Type=le.fit_transform(test.Road_Type)
test.Property_Shape=le.fit_transform(test.Property_Shape)
test.Land_Outline=le.fit_transform(test.Land_Outline)
test.Utility_Type=le.fit_transform(test.Utility_Type)
test.Lot_Configuration=le.fit_transform(test.Lot_Configuration)
test.Property_Slope=le.fit_transform(test.Property_Slope)
test.Neighborhood=le.fit_transform(test.Neighborhood)
test.Condition1=le.fit_transform(test.Condition1)
test.Condition2=le.fit_transform(test.Condition2)
test.House_Type=le.fit_transform(test.House_Type)
test.House_Design=le.fit_transform(test.House_Design)
test.Roof_Design=le.fit_transform(test.Roof_Design)
test.Roof_Quality=le.fit_transform(test.Roof_Quality)
test.Exterior1st=le.fit_transform(test.Exterior1st)
test.Exterior2nd=le.fit_transform(test.Exterior2nd)
test.Exterior_Material=le.fit_transform(test.Exterior_Material)
test.Exterior_Condition=le.fit_transform(test.Exterior_Condition)
test.Foundation_Type=le.fit_transform(test.Foundation_Type)
test.Basement_Height=le.fit_transform(test.Basement_Height)
test.Basement_Condition=le.fit_transform(test.Basement_Condition)
test.Exposure_Level=le.fit_transform(test.Exposure_Level)
test.BsmtFinType1=le.fit_transform(test.BsmtFinType1)
test.BsmtFinType2=le.fit_transform(test.BsmtFinType2)
test.Heating_Type=le.fit_transform(test.Heating_Type)
test.Heating_Quality=le.fit_transform(test.Heating_Quality)
test.Air_Conditioning=le.fit_transform(test.Air_Conditioning)
test.Electrical_System=le.fit_transform(test.Electrical_System)
test.Kitchen_Quality=le.fit_transform(test.Kitchen_Quality)
test.Functional_Rate=le.fit_transform(test.Functional_Rate)
test.Garage=le.fit_transform(test.Garage)
test.Garage_Quality=le.fit_transform(test.Garage_Quality)
test.Garage_Condition=le.fit_transform(test.Garage_Condition)
test.Pavedd_Drive=le.fit_transform(test.Pavedd_Drive)
test.Sale_Type=le.fit_transform(test.Sale_Type)
test.Sale_Condition=le.fit_transform(test.Sale_Condition)
In [36]:
test['Lot_Extent']=pd.to_numeric(test['Lot_Extent'],errors='coerce')
test['Lot_Extent']=test['Lot_Extent'].astype('int64')
test['Lot_Size']=pd.to_numeric(test['Lot_Size'],errors='coerce')
test['Lot_Size']=test['Lot_Size'].astype('int64')
test['BsmtFinSF1']=pd.to_numeric(test['BsmtFinSF1'],errors='coerce')
test['BsmtFinSF1']=test['BsmtFinSF1'].astype('int64')
test['BsmtFinSF2']=pd.to_numeric(test['BsmtFinSF2'],errors='coerce')
test['BsmtFinSF2']=test['BsmtFinSF2'].astype('int64')
test['BsmtUnfSF']=pd.to_numeric(test['BsmtUnfSF'],errors='coerce')
test['BsmtUnfSF']=test['BsmtUnfSF'].astype('int64')
test['Total_Basement_Area']=pd.to_numeric(test['Total_Basement_Area'],errors='coerce')
test['Total_Basement_Area']=test['Total_Basement_Area'].astype('int64')
test['Underground_Full_Bathroom']=pd.to_numeric(test['Underground_Full_Bathroom'],errors='coerce')
test['Underground_Full_Bathroom']=test['Underground_Full_Bathroom'].astype('int64')
test['Underground_Half_Bathroom']=pd.to_numeric(test['Underground_Half_Bathroom'],errors='coerce')
test['Underground_Half_Bathroom']=test['Underground_Half_Bathroom'].astype('int64')
test['Garage_Size']=pd.to_numeric(test['Garage_Size'],errors='coerce')
test['Garage_Size']=test['Garage_Size'].astype('int64')
test['Garage_Area']=pd.to_numeric(test['Garage_Area'],errors='coerce')
test['Garage_Area']=test['Garage_Area'].astype('int64')

BASIC MODEL BUILDING¶

In [37]:
tr1=train.copy()
In [38]:
tr1_x=tr1.iloc[:,1:-1]
tr1_y=tr1.iloc[:,-1]
In [39]:
from sklearn.model_selection import train_test_split
In [40]:
tr1_xtrain,tr1_xtest,tr1_ytrain,tr1_ytest=train_test_split(tr1_x,tr1_y,test_size=.3,random_state=101)
In [41]:
from sklearn.model_selection import train_test_split
In [42]:
tr1_xtrain.shape,tr1_xtest.shape,tr1_ytrain.shape,tr1_ytest.shape
Out[42]:
((1021, 67), (438, 67), (1021,), (438,))
In [43]:
from sklearn import linear_model
In [44]:
ln=linear_model.LinearRegression()
In [45]:
ln.fit(tr1_xtrain,tr1_ytrain)
Out[45]:
LinearRegression()
In [46]:
prediction=ln.predict(tr1_xtest)
In [47]:
ln.intercept_
Out[47]:
-512560.03498022305
In [48]:
ln.coef_
Out[48]:
array([-7.96731500e+01, -9.82000804e+02,  3.57198613e+01,  6.12806207e-01,
        3.90618002e+04, -1.09951246e+03,  1.34422580e+03, -1.15420451e+04,
       -1.29953289e+02,  1.81231661e+03,  2.22447778e+02, -2.07387571e+03,
       -1.69036321e+04, -7.99502206e+02, -7.67586964e+02,  9.91429117e+03,
        5.82205222e+03,  2.81105821e+02, -1.86993222e+01,  1.33661682e+03,
        4.58543922e+03, -2.62443024e+02,  6.91157564e+01, -9.89843320e+03,
       -6.30369698e+00,  1.09019623e+03, -9.10190556e+03,  2.03059687e+03,
       -2.56334111e+03,  9.98941726e+02,  2.34115700e+01,  2.04736710e+02,
        8.47158679e+00, -5.20168777e+00,  2.66814690e+01, -6.93354232e+03,
       -8.59185439e+02, -6.51383399e+03,  9.97016987e+01,  2.63312295e+01,
        3.76182689e+01, -3.80503387e+01,  2.58991598e+01, -1.65385817e+03,
       -2.35042468e+03, -3.48414840e+03, -1.56370832e+03, -4.04184528e+03,
       -2.05412653e+04, -7.51795830e+03,  1.45607534e+03,  2.66467688e+03,
        4.31352137e+03,  7.81282819e+02,  8.47549659e+03, -1.06013525e+00,
        1.12341706e+03, -3.29372229e+03,  2.31156234e+03, -4.78913453e+00,
        4.18901520e+00,  2.18931014e+01,  1.71163934e+01,  1.54258782e+01,
        6.55933886e+01, -1.76305736e+02,  3.28354400e+03])
In [49]:
rsq=ln.score(tr1_xtrain,tr1_ytrain)
rsq
Out[49]:
0.8763779978166324
In [50]:
adjR2=1-(((1-rsq)*(1021-1))/(1021-66-1))
adjR2
Out[50]:
0.8678255322567767
In [51]:
from sklearn import metrics
In [52]:
mae=metrics.mean_absolute_error(tr1_ytest,prediction)
mae
Out[52]:
19729.19496837054
In [53]:
mse=metrics.mean_squared_error(tr1_ytest,prediction)
mse
Out[53]:
1836845204.172172
In [54]:
error=tr1_ytest-prediction
error
Out[54]:
666     -87040.549404
104       -182.940614
528      22509.894581
18       10091.439731
1151    -14814.685821
60      -23496.578202
70      -61230.471820
284     -12849.997509
860      20267.571954
327      -7649.005233
786     -21718.367736
191      -8926.121030
218      78743.370576
1276      7209.129371
713      33099.089896
1215     20307.924816
621     -16377.005289
1054     -8022.336732
596     -17825.578893
622       6018.326657
1384    -15162.220425
161      26640.280687
1141     16039.058652
0        -6305.067730
1337    -14517.852750
90       13334.750757
1202     -2763.275590
482     -39167.614782
1292    -11269.895258
194       7549.249570
1224    -31500.709350
1406      2822.981840
1250    -39492.747431
534     -41385.567738
899      -1629.849828
835      10006.768384
1228     15513.110755
360      -5091.772568
515      19665.462890
2          992.124658
781     -10168.549878
1317      4916.893692
501      11087.943766
1331      9846.559430
109     -38247.857497
81      -37449.770803
1185     -6453.775280
1096      6088.169133
569     -12634.327802
968      -5802.103400
956      -1822.455512
862       2152.350937
942      35119.892257
543        221.997328
492      -3723.314517
1039     20203.744006
1131    -10557.994140
142      27551.748381
135      -9620.013813
1197    -11277.483872
909     -13851.553784
880     -10931.935390
532      21890.166083
961      -1199.105547
731     -25766.236026
1253     35674.658401
32      -40303.639151
55        4181.340126
791      -8598.406224
1092    -23046.811320
1020     15106.205183
1336       107.186394
992     -22714.204405
373      20023.395078
520      44260.981157
706     -11249.951298
509      -5833.440316
1086      9719.905408
794     -20674.216206
1035      9138.805108
847       8003.596400
1390     -7261.849177
1254    -30975.185589
132        448.566408
1102      3839.235160
162     -31137.246020
1152     21983.770666
651      -2174.525011
367       7779.221011
1199      8690.917699
115      15006.257163
774     113332.318561
1084     13509.179217
19       30381.287015
693      17567.096412
1180    -24125.731214
1284    -23493.749268
45       20488.126229
1416      5225.411932
752       3332.827024
1345     16534.684698
374       3827.557279
1163    -24403.961120
1114       -63.587889
1321    -16978.683271
843      10902.465173
614       -830.983581
765       7637.618652
256      -4640.669591
172      21691.664948
770       1794.176427
1393     10689.300078
929      -9904.427875
230      20172.859151
783     -19930.421911
1014     -4161.860755
1031    -12442.363468
722      19662.075416
976      -3887.863010
1420     23910.002962
545     -43012.983255
187      -3028.714426
940     -28814.887277
1179      7388.411915
134      10421.476502
337     -15412.812683
99       16213.830115
959     -25893.943571
44       19568.359072
20       18687.398388
1186    -43457.449212
583      32353.151083
224      10597.989376
934       5254.860636
195      -4152.589648
823      -2302.749752
183      -5134.622339
587       6321.094643
637      11568.517251
1056    -25747.445813
389      28625.295526
439     -30977.189376
586      21087.339365
1038      7376.744678
1373     35173.935770
552     -18614.202194
902     -13878.229597
306     -27601.084338
1016    -23874.123466
1320     -3177.555230
677      -5513.786472
759         34.395429
957       5884.747567
834       4175.423954
1208     -5922.589163
138     -26910.331364
168     -22407.220953
1192    -28170.982489
518      13892.589195
1198      -417.025641
246     -42155.514308
336      47088.233628
342      55108.417403
1424     19150.070472
304     -16358.444217
757      17268.100569
626      25433.289629
98       26154.046356
1030     43647.528548
1217      2029.120258
1407       936.642248
325      -9896.421553
694      12703.309161
299      15603.059237
1323    -24842.060976
938      -4577.935838
723      14614.774347
1413     -5618.697280
1289      8095.874190
680      22594.226506
383     -27814.924794
1166      1756.938979
72      -10307.413417
730      -5717.119965
247     -12904.565708
141       1085.396888
848      30030.707072
351     -15449.768237
1411     -1546.765300
1062    -25128.332283
179      -3057.714771
804      12965.111549
459       3832.897030
198     -18333.189446
147      -9533.709065
568      10031.378609
1057     -1256.083411
489      -3110.033707
307     -44489.212380
768     -15412.233752
225      32355.880852
1116    -10382.755897
1120     16674.675551
699       6405.892454
1006    -35050.882997
157     -13699.229674
913      -4592.734743
30      -60271.462665
497      17364.821085
859       -949.019157
347     -39494.849598
212      20151.365356
1298   -686660.947740
659      -9337.948486
25       19632.374462
1133    -16357.802193
563       6612.013650
1412     41859.854199
729      28276.466878
901      -1205.214266
737       7298.422479
365      18595.382133
1277     -3130.668793
974     -50777.611857
416      -6475.117030
33      -25023.681448
236     -14292.163810
36       12476.086128
605      -2056.343491
295      -6959.798704
1189      3070.609521
334     -10224.032369
407      26494.235488
1255     -2617.003296
1270    -13743.014418
857      18232.157777
1271      8175.659696
209     -31584.226282
1443     12444.804954
1312    -20716.989731
668       5966.342231
1297     16908.550226
31       19849.110999
252     -16557.719748
242     -14036.084450
726     -17350.372601
114      29107.773477
87        2772.019110
355       4559.332845
537        646.053093
1335     -3431.028939
1395     -7209.576016
1077     26345.474300
257      -8538.607227
864      33343.970452
922      -4380.504248
721     -12433.786879
1036      -485.468793
323      25029.266367
1104      9313.342839
412     -47746.879933
493      11268.207614
26       12836.722377
1242    -13781.552527
510       3462.201171
639      -7138.711294
564       5768.967811
652     -15140.498374
1125     -8717.765462
379       3020.978451
1209      8957.567805
744     -27650.053653
116      18447.015393
841      17010.925419
1427     -3603.323036
753       7135.965095
291      17349.629217
1399    -13322.400626
1387    -73385.143113
185     116116.844590
1090     56840.734442
1369    -25504.512725
1409     -2608.154488
716     -42743.940824
454      20823.180205
23      -16066.673415
608      83962.953639
189      -7082.834730
682      -9920.957336
175      38994.468926
650       -894.738381
824      11443.883083
1026     10993.742973
548      92848.927621
1441    -12140.852745
330       2957.296777
193     -49943.983236
867      -9231.626400
286     -38451.685211
1078      2967.396207
149       6509.277729
361      13943.936852
1183    -27269.377363
1346     30769.556574
1389      5341.796468
1363    -15822.797096
128      16341.552280
61       -2141.132241
182      -9886.064725
790       2528.877949
1364      6971.589415
690     -17959.830299
292       3241.463518
432      21192.200154
353        529.078923
1089    -23122.484437
986     -24220.349650
962     -11184.563871
1136     10386.958482
126       9108.054038
354     -13966.495060
63      -23164.829815
137       2187.667127
1101      6663.700016
1203       822.824542
210      -2897.867928
103      16145.632082
903       5281.741967
1046    172618.780899
610     -16068.194239
524      29235.242294
123      -5811.957473
1137     -3013.394466
486      13069.334024
12       16875.973239
1243     79657.052813
125      -3319.266119
758      13308.092671
139      22430.785409
602     -23323.665314
1095     -2639.306211
495     -25775.081400
640     -36953.966697
1019     23555.472833
1245      4783.147500
184     -15272.604243
1421     -1420.831257
352     -29580.187087
1140     15472.824421
1410      5557.094413
254      -1501.774683
1040     -2601.026577
1432     -6196.840271
846      -1626.910002
946       7695.123958
567      10023.691241
28       10278.085411
971     -23922.422815
869      -4616.122072
449      18467.562914
1113      3525.514543
803     195436.997392
778      -3426.657068
954      -6643.996246
1258      6818.119947
801      -4681.910218
1426      6599.941124
1240     10109.254163
1138    -29165.714245
1381      8272.929220
393      31796.628775
989       3581.184387
24        1818.212445
551       8284.528960
988        -24.434229
1349    -18860.068107
1211    -64051.308273
683        454.989808
1391     14266.771303
127       3207.503789
1087     -2379.348918
619       2662.013295
948     -25274.868788
814       4010.218314
698      16719.408574
1083      5191.074700
320      33770.950132
674      -8340.520196
544     -36769.650814
422      -3567.008332
747      13316.390378
792      16724.688044
585      27357.576943
885      49061.919422
688     142089.768240
100     -20524.817313
914       7914.907701
715      10169.420463
268      18143.062702
1304    -52640.348130
1122     50211.239127
34      -29868.184236
339      -3962.715238
452     -19898.596818
118     -30608.905177
285      -5721.045703
1449    -12394.077648
618      -5733.631394
1128    -17144.291859
937      14233.838216
665      -8596.910657
420      20723.185553
739     -13241.900323
745     -24915.370792
1157     20994.690676
1392     13750.923814
467     -19962.683692
1091     -8650.389347
1028    -20291.375968
429     -30988.236825
647      -5058.892378
313     -21517.680663
1377    -22447.892408
303      33343.287603
576      -3369.334852
643      20276.850824
876       2520.134001
457      33041.573719
776      -7897.060361
249     -70307.114084
1045     22014.724642
48       67035.932133
933     -14475.752007
555      22509.097829
460      27639.926478
1106    -36827.172827
700       1804.026118
399      17247.624681
Name: Sale_Price, dtype: float64
In [55]:
absolute_error=np.abs(error)
absolute_error
Out[55]:
666      87040.549404
104        182.940614
528      22509.894581
18       10091.439731
1151     14814.685821
60       23496.578202
70       61230.471820
284      12849.997509
860      20267.571954
327       7649.005233
786      21718.367736
191       8926.121030
218      78743.370576
1276      7209.129371
713      33099.089896
1215     20307.924816
621      16377.005289
1054      8022.336732
596      17825.578893
622       6018.326657
1384     15162.220425
161      26640.280687
1141     16039.058652
0         6305.067730
1337     14517.852750
90       13334.750757
1202      2763.275590
482      39167.614782
1292     11269.895258
194       7549.249570
1224     31500.709350
1406      2822.981840
1250     39492.747431
534      41385.567738
899       1629.849828
835      10006.768384
1228     15513.110755
360       5091.772568
515      19665.462890
2          992.124658
781      10168.549878
1317      4916.893692
501      11087.943766
1331      9846.559430
109      38247.857497
81       37449.770803
1185      6453.775280
1096      6088.169133
569      12634.327802
968       5802.103400
956       1822.455512
862       2152.350937
942      35119.892257
543        221.997328
492       3723.314517
1039     20203.744006
1131     10557.994140
142      27551.748381
135       9620.013813
1197     11277.483872
909      13851.553784
880      10931.935390
532      21890.166083
961       1199.105547
731      25766.236026
1253     35674.658401
32       40303.639151
55        4181.340126
791       8598.406224
1092     23046.811320
1020     15106.205183
1336       107.186394
992      22714.204405
373      20023.395078
520      44260.981157
706      11249.951298
509       5833.440316
1086      9719.905408
794      20674.216206
1035      9138.805108
847       8003.596400
1390      7261.849177
1254     30975.185589
132        448.566408
1102      3839.235160
162      31137.246020
1152     21983.770666
651       2174.525011
367       7779.221011
1199      8690.917699
115      15006.257163
774     113332.318561
1084     13509.179217
19       30381.287015
693      17567.096412
1180     24125.731214
1284     23493.749268
45       20488.126229
1416      5225.411932
752       3332.827024
1345     16534.684698
374       3827.557279
1163     24403.961120
1114        63.587889
1321     16978.683271
843      10902.465173
614        830.983581
765       7637.618652
256       4640.669591
172      21691.664948
770       1794.176427
1393     10689.300078
929       9904.427875
230      20172.859151
783      19930.421911
1014      4161.860755
1031     12442.363468
722      19662.075416
976       3887.863010
1420     23910.002962
545      43012.983255
187       3028.714426
940      28814.887277
1179      7388.411915
134      10421.476502
337      15412.812683
99       16213.830115
959      25893.943571
44       19568.359072
20       18687.398388
1186     43457.449212
583      32353.151083
224      10597.989376
934       5254.860636
195       4152.589648
823       2302.749752
183       5134.622339
587       6321.094643
637      11568.517251
1056     25747.445813
389      28625.295526
439      30977.189376
586      21087.339365
1038      7376.744678
1373     35173.935770
552      18614.202194
902      13878.229597
306      27601.084338
1016     23874.123466
1320      3177.555230
677       5513.786472
759         34.395429
957       5884.747567
834       4175.423954
1208      5922.589163
138      26910.331364
168      22407.220953
1192     28170.982489
518      13892.589195
1198       417.025641
246      42155.514308
336      47088.233628
342      55108.417403
1424     19150.070472
304      16358.444217
757      17268.100569
626      25433.289629
98       26154.046356
1030     43647.528548
1217      2029.120258
1407       936.642248
325       9896.421553
694      12703.309161
299      15603.059237
1323     24842.060976
938       4577.935838
723      14614.774347
1413      5618.697280
1289      8095.874190
680      22594.226506
383      27814.924794
1166      1756.938979
72       10307.413417
730       5717.119965
247      12904.565708
141       1085.396888
848      30030.707072
351      15449.768237
1411      1546.765300
1062     25128.332283
179       3057.714771
804      12965.111549
459       3832.897030
198      18333.189446
147       9533.709065
568      10031.378609
1057      1256.083411
489       3110.033707
307      44489.212380
768      15412.233752
225      32355.880852
1116     10382.755897
1120     16674.675551
699       6405.892454
1006     35050.882997
157      13699.229674
913       4592.734743
30       60271.462665
497      17364.821085
859        949.019157
347      39494.849598
212      20151.365356
1298    686660.947740
659       9337.948486
25       19632.374462
1133     16357.802193
563       6612.013650
1412     41859.854199
729      28276.466878
901       1205.214266
737       7298.422479
365      18595.382133
1277      3130.668793
974      50777.611857
416       6475.117030
33       25023.681448
236      14292.163810
36       12476.086128
605       2056.343491
295       6959.798704
1189      3070.609521
334      10224.032369
407      26494.235488
1255      2617.003296
1270     13743.014418
857      18232.157777
1271      8175.659696
209      31584.226282
1443     12444.804954
1312     20716.989731
668       5966.342231
1297     16908.550226
31       19849.110999
252      16557.719748
242      14036.084450
726      17350.372601
114      29107.773477
87        2772.019110
355       4559.332845
537        646.053093
1335      3431.028939
1395      7209.576016
1077     26345.474300
257       8538.607227
864      33343.970452
922       4380.504248
721      12433.786879
1036       485.468793
323      25029.266367
1104      9313.342839
412      47746.879933
493      11268.207614
26       12836.722377
1242     13781.552527
510       3462.201171
639       7138.711294
564       5768.967811
652      15140.498374
1125      8717.765462
379       3020.978451
1209      8957.567805
744      27650.053653
116      18447.015393
841      17010.925419
1427      3603.323036
753       7135.965095
291      17349.629217
1399     13322.400626
1387     73385.143113
185     116116.844590
1090     56840.734442
1369     25504.512725
1409      2608.154488
716      42743.940824
454      20823.180205
23       16066.673415
608      83962.953639
189       7082.834730
682       9920.957336
175      38994.468926
650        894.738381
824      11443.883083
1026     10993.742973
548      92848.927621
1441     12140.852745
330       2957.296777
193      49943.983236
867       9231.626400
286      38451.685211
1078      2967.396207
149       6509.277729
361      13943.936852
1183     27269.377363
1346     30769.556574
1389      5341.796468
1363     15822.797096
128      16341.552280
61        2141.132241
182       9886.064725
790       2528.877949
1364      6971.589415
690      17959.830299
292       3241.463518
432      21192.200154
353        529.078923
1089     23122.484437
986      24220.349650
962      11184.563871
1136     10386.958482
126       9108.054038
354      13966.495060
63       23164.829815
137       2187.667127
1101      6663.700016
1203       822.824542
210       2897.867928
103      16145.632082
903       5281.741967
1046    172618.780899
610      16068.194239
524      29235.242294
123       5811.957473
1137      3013.394466
486      13069.334024
12       16875.973239
1243     79657.052813
125       3319.266119
758      13308.092671
139      22430.785409
602      23323.665314
1095      2639.306211
495      25775.081400
640      36953.966697
1019     23555.472833
1245      4783.147500
184      15272.604243
1421      1420.831257
352      29580.187087
1140     15472.824421
1410      5557.094413
254       1501.774683
1040      2601.026577
1432      6196.840271
846       1626.910002
946       7695.123958
567      10023.691241
28       10278.085411
971      23922.422815
869       4616.122072
449      18467.562914
1113      3525.514543
803     195436.997392
778       3426.657068
954       6643.996246
1258      6818.119947
801       4681.910218
1426      6599.941124
1240     10109.254163
1138     29165.714245
1381      8272.929220
393      31796.628775
989       3581.184387
24        1818.212445
551       8284.528960
988         24.434229
1349     18860.068107
1211     64051.308273
683        454.989808
1391     14266.771303
127       3207.503789
1087      2379.348918
619       2662.013295
948      25274.868788
814       4010.218314
698      16719.408574
1083      5191.074700
320      33770.950132
674       8340.520196
544      36769.650814
422       3567.008332
747      13316.390378
792      16724.688044
585      27357.576943
885      49061.919422
688     142089.768240
100      20524.817313
914       7914.907701
715      10169.420463
268      18143.062702
1304     52640.348130
1122     50211.239127
34       29868.184236
339       3962.715238
452      19898.596818
118      30608.905177
285       5721.045703
1449     12394.077648
618       5733.631394
1128     17144.291859
937      14233.838216
665       8596.910657
420      20723.185553
739      13241.900323
745      24915.370792
1157     20994.690676
1392     13750.923814
467      19962.683692
1091      8650.389347
1028     20291.375968
429      30988.236825
647       5058.892378
313      21517.680663
1377     22447.892408
303      33343.287603
576       3369.334852
643      20276.850824
876       2520.134001
457      33041.573719
776       7897.060361
249      70307.114084
1045     22014.724642
48       67035.932133
933      14475.752007
555      22509.097829
460      27639.926478
1106     36827.172827
700       1804.026118
399      17247.624681
Name: Sale_Price, dtype: float64
In [56]:
mape=np.mean(absolute_error/tr1_ytest)*100
mape
Out[56]:
12.120887113920132

VISUALIZATION¶

In [58]:
import seaborn as sns
import matplotlib.pyplot as plt
In [59]:
fig,ax=plt.subplots(21,4,figsize=(100,95))
sns.countplot("Id",data=train,ax=ax[0][0])
sns.countplot("Zoning_Class",data=train,ax=ax[0][1])
sns.countplot("Lot_Extent",data=train,ax=ax[0][2])
sns.countplot("Lot_Size",data=train,ax=ax[0][3])
sns.countplot("Road_Type",data=train,ax=ax[1][0])
sns.countplot("Property_Shape",data=train,ax=ax[1][1])
sns.countplot("Land_Outline",data=train,ax=ax[1][2])
sns.countplot("Utility_Type",data=train,ax=ax[1][3])
sns.countplot("Lot_Configuration",data=train,ax=ax[2][0])
sns.countplot("Property_Slope",data=train,ax=ax[2][1])
sns.countplot("Neighborhood",data=train,ax=ax[2][2])
sns.countplot("Condition2",data=train,ax=ax[2][3])
sns.countplot("House_Type",data=train,ax=ax[3][0])
sns.countplot("House_Design",data=train,ax=ax[3][1])
sns.countplot("Overall_Material",data=train,ax=ax[3][2])
sns.countplot("House_Condition",data=train,ax=ax[3][3])
sns.countplot("Construction_Year",data=train,ax=ax[4][0])
sns.countplot("Remodel_Year",data=train,ax=ax[4][1])
sns.countplot("Roof_Design",data=train,ax=ax[4][2])
sns.countplot("Roof_Quality",data=train,ax=ax[4][3])
sns.countplot("Exterior1st",data=train,ax=ax[5][0])
sns.countplot("Exterior2nd",data=train,ax=ax[5][1])
sns.countplot("Building_Class",data=train,ax=ax[5][2])
#sns.countplot("Brick_Veneer_Area",data=train,ax=ax[5][3])
#sns.countplot("Brick_Veneer_Area",data=train,ax=ax[6][0])
sns.countplot("Exterior_Material",data=train,ax=ax[6][1])
sns.countplot("Exterior_Condition",data=train,ax=ax[6][2])
sns.countplot("Basement_Height",data=train,ax=ax[6][3])
sns.countplot("Foundation_Type",data=train,ax=ax[7][0])
sns.countplot("Basement_Condition",data=train,ax=ax[7][1])
sns.countplot("Exposure_Level",data=train,ax=ax[7][2])
sns.countplot("BsmtFinType1",data=train,ax=ax[7][3])
sns.countplot("BsmtFinSF1",data=train,ax=ax[8][0])
sns.countplot("BsmtFinType2",data=train,ax=ax[8][1])
sns.countplot("BsmtFinSF2",data=train,ax=ax[8][2])
sns.countplot("BsmtUnfSF",data=train,ax=ax[8][3])
sns.countplot("Total_Basement_Area",data=train,ax=ax[9][0])
sns.countplot("Electrical_System",data=train,ax=ax[9][1])
sns.countplot("Heating_Quality",data=train,ax=ax[9][2])
sns.countplot("Air_Conditioning",data=train,ax=ax[9][3])
sns.countplot("Electrical_System",data=train,ax=ax[10][0])
sns.countplot("First_Floor_Area",data=train,ax=ax[10][1])
sns.countplot("Second_Floor_Area",data=train,ax=ax[10][2])
sns.countplot("LowQualFinSF",data=train,ax=ax[10][3])
sns.countplot("Grade_Living_Area",data=train,ax=ax[11][0])
sns.countplot("Underground_Full_Bathroom",data=train,ax=ax[11][1])
sns.countplot("Underground_Half_Bathroom",data=train,ax=ax[11][2])
sns.countplot("Full_Bathroom_Above_Grade",data=train,ax=ax[11][3])
sns.countplot("Half_Bathroom_Above_Grade",data=train,ax=ax[12][0])
sns.countplot("Bedroom_Above_Grade",data=train,ax=ax[12][1])
sns.countplot("Kitchen_Above_Grade",data=train,ax=ax[12][2])
sns.countplot("Kitchen_Quality",data=train,ax=ax[12][3])
sns.countplot("Rooms_Above_Grade",data=train,ax=ax[13][0])
sns.countplot("Functional_Rate",data=train,ax=ax[13][1])
sns.countplot("Fireplaces",data=train,ax=ax[13][2])
#sns.countplot("Fireplace_Quality",data=train,ax=ax[13][3])
sns.countplot("Garage",data=train,ax=ax[14][0])
#sns.countplot("Garage_Built_Year",data=train,ax=ax[14][1])
#sns.countplot("Garage_Finish_Year",data=train,ax=ax[14][2])
sns.countplot("Garage_Size",data=train,ax=ax[14][3])
sns.countplot("Garage_Area",data=train,ax=ax[15][0])
sns.countplot("Garage_Quality",data=train,ax=ax[15][1])
sns.countplot("Garage_Condition",data=train,ax=ax[15][2])
sns.countplot("Pavedd_Drive",data=train,ax=ax[15][3])
sns.countplot("W_Deck_Area",data=train,ax=ax[16][0])
sns.countplot("Open_Lobby_Area",data=train,ax=ax[16][1])
sns.countplot("Enclosed_Lobby_Area",data=train,ax=ax[16][2])
sns.countplot("Three_Season_Lobby_Area",data=train,ax=ax[16][3])
sns.countplot("Screen_Lobby_Area",data=train,ax=ax[17][0])
sns.countplot("Pool_Area",data=train,ax=ax[17][1])
#sns.countplot("Pool_Quality",data=train,ax=ax[18][3])
#sns.countplot("Fence_Quality",data=train,ax=ax[19][0])
#sns.countplot("Miscellaneous_Feature",data=train,ax=ax[19][1])
#sns.countplot("Miscellaneous_Value",data=train,ax=ax[17][2])
#sns.countplot("Month_Sold",data=train,ax=ax[17][3])
#sns.countplot("Year_Sold",data=train,ax=ax[18][0])
sns.countplot("Sale_Type",data=train,ax=ax[18][1])
sns.countplot("Sale_Condition",data=train,ax=ax[18][2])
sns.countplot("Sale_Price",data=train,ax=ax[18][3])
Out[59]:
<AxesSubplot:xlabel='Sale_Price', ylabel='count'>
In [60]:
fig,ax=plt.subplots(21,4,figsize=(50,45))
sns.countplot("Id",data=test,ax=ax[0][0])
sns.countplot("Zoning_Class",data=test,ax=ax[0][1])
sns.countplot("Lot_Extent",data=test,ax=ax[0][2])
sns.countplot("Lot_Size",data=test,ax=ax[0][3])
sns.countplot("Road_Type",data=test,ax=ax[1][0])
#sns.countplot("Lane_Type",data=test,ax=ax[1][1])
sns.countplot("Property_Shape",data=test,ax=ax[1][1])
sns.countplot("Land_Outline",data=test,ax=ax[1][2])
sns.countplot("Utility_Type",data=test,ax=ax[1][3])
sns.countplot("Lot_Configuration",data=test,ax=ax[2][0])
sns.countplot("Property_Slope",data=test,ax=ax[2][1])
sns.countplot("Neighborhood",data=test,ax=ax[2][2])
sns.countplot("Condition1",data=test,ax=ax[2][3])
sns.countplot("Condition2",data=test,ax=ax[3][0])
sns.countplot("House_Type",data=test,ax=ax[3][1])
sns.countplot("House_Design",data=test,ax=ax[3][2])
sns.countplot("Overall_Material",data=test,ax=ax[3][3])
sns.countplot("House_Condition",data=test,ax=ax[4][0])
sns.countplot("Construction_Year",data=test,ax=ax[4][1])
sns.countplot("Remodel_Year",data=test,ax=ax[4][2])
sns.countplot("Roof_Design",data=test,ax=ax[4][3])
sns.countplot("Roof_Quality",data=test,ax=ax[5][0])
sns.countplot("Exterior1st",data=test,ax=ax[5][1])
sns.countplot("Exterior2nd",data=test,ax=ax[5][2])
sns.countplot("Building_Class",data=test,ax=ax[5][3])
#sns.countplot("Brick_Veneer_Area",data=test,ax=ax[6][0])
#sns.countplot("Brick_Veneer_Area",data=test,ax=ax[6][1])
sns.countplot("Exterior_Material",data=test,ax=ax[6][2])
sns.countplot("Exterior_Condition",data=test,ax=ax[6][3])
sns.countplot("Basement_Height",data=test,ax=ax[7][0])
sns.countplot("Foundation_Type",data=test,ax=ax[7][1])
sns.countplot("Basement_Condition",data=test,ax=ax[7][2])
sns.countplot("Exposure_Level",data=test,ax=ax[7][3])
sns.countplot("BsmtFinType1",data=test,ax=ax[8][0])
sns.countplot("BsmtFinSF1",data=test,ax=ax[8][1])
sns.countplot("BsmtFinType2",data=test,ax=ax[8][2])
sns.countplot("BsmtFinSF2",data=test,ax=ax[8][3])
sns.countplot("BsmtUnfSF",data=test,ax=ax[9][0])
sns.countplot("Total_Basement_Area",data=test,ax=ax[9][1])
sns.countplot("Electrical_System",data=test,ax=ax[9][2])
sns.countplot("Heating_Quality",data=test,ax=ax[9][3])
sns.countplot("Air_Conditioning",data=test,ax=ax[10][0])
sns.countplot("Electrical_System",data=test,ax=ax[10][1])
sns.countplot("First_Floor_Area",data=test,ax=ax[10][2])
sns.countplot("Second_Floor_Area",data=test,ax=ax[10][3])
sns.countplot("LowQualFinSF",data=test,ax=ax[11][0])
sns.countplot("Grade_Living_Area",data=test,ax=ax[11][1])
sns.countplot("Underground_Full_Bathroom",data=test,ax=ax[11][2])
sns.countplot("Underground_Half_Bathroom",data=test,ax=ax[11][3])
sns.countplot("Full_Bathroom_Above_Grade",data=test,ax=ax[12][0])
sns.countplot("Half_Bathroom_Above_Grade",data=test,ax=ax[12][1])
sns.countplot("Bedroom_Above_Grade",data=test,ax=ax[12][2])
sns.countplot("Kitchen_Above_Grade",data=test,ax=ax[12][3])
sns.countplot("Kitchen_Quality",data=test,ax=ax[13][0])
sns.countplot("Rooms_Above_Grade",data=test,ax=ax[13][1])
sns.countplot("Functional_Rate",data=test,ax=ax[13][2])
sns.countplot("Fireplaces",data=test,ax=ax[13][3])
#sns.countplot("Fireplace_Quality",data=test,ax=ax[15][0])
sns.countplot("Garage",data=test,ax=ax[14][0])
#sns.countplot("Garage_Built_Year",data=test,ax=ax[14][1])
#sns.countplot("Garage_Finish_Year",data=test,ax=ax[14][2])
sns.countplot("Garage_Size",data=test,ax=ax[14][3])
sns.countplot("Garage_Area",data=test,ax=ax[15][0])
sns.countplot("Garage_Quality",data=test,ax=ax[15][1])
sns.countplot("Garage_Condition",data=test,ax=ax[15][2])
sns.countplot("Pavedd_Drive",data=test,ax=ax[15][3])
sns.countplot("W_Deck_Area",data=test,ax=ax[16][0])
sns.countplot("Open_Lobby_Area",data=test,ax=ax[16][1])
sns.countplot("Enclosed_Lobby_Area",data=test,ax=ax[16][2])
sns.countplot("Three_Season_Lobby_Area",data=test,ax=ax[16][3])
sns.countplot("Screen_Lobby_Area",data=test,ax=ax[17][0])
sns.countplot("Pool_Area",data=test,ax=ax[17][1])
#sns.countplot("Pool_Quality",data=test,ax=ax[18][3])
#sns.countplot("Fence_Quality",data=test,ax=ax[19][0])
#sns.countplot("Miscellaneous_Feature",data=test,ax=ax[19][1])
#sns.countplot("Miscellaneous_Value",data=test,ax=ax[17][2])
#sns.countplot("Month_Sold",data=test,ax=ax[17][3])
#sns.countplot("Year_Sold",data=test,ax=ax[18][0])
sns.countplot("Sale_Type",data=test,ax=ax[18][1])
sns.countplot("Sale_Condition",data=test,ax=ax[18][2])
Out[60]:
<AxesSubplot:xlabel='Sale_Condition', ylabel='count'>
In [61]:
tr2=train.corr()
tr2
Out[61]:
Id Building_Class Zoning_Class Lot_Extent Lot_Size Road_Type Property_Shape Land_Outline Utility_Type Lot_Configuration Property_Slope Neighborhood Condition1 Condition2 House_Type House_Design Overall_Material House_Condition Construction_Year Remodel_Year Roof_Design Roof_Quality Exterior1st Exterior2nd Exterior_Material Exterior_Condition Foundation_Type Basement_Height Basement_Condition Exposure_Level BsmtFinType1 BsmtFinSF1 BsmtFinType2 BsmtFinSF2 BsmtUnfSF Total_Basement_Area Heating_Type Heating_Quality Air_Conditioning Electrical_System First_Floor_Area Second_Floor_Area LowQualFinSF Grade_Living_Area Underground_Full_Bathroom Underground_Half_Bathroom Full_Bathroom_Above_Grade Half_Bathroom_Above_Grade Bedroom_Above_Grade Kitchen_Above_Grade Kitchen_Quality Rooms_Above_Grade Functional_Rate Fireplaces Garage Garage_Size Garage_Area Garage_Quality Garage_Condition Pavedd_Drive W_Deck_Area Open_Lobby_Area Enclosed_Lobby_Area Three_Season_Lobby_Area Screen_Lobby_Area Pool_Area Sale_Type Sale_Condition Sale_Price
Id 1.000000 0.012207 -0.006048 -0.009894 -0.033191 0.008849 0.031270 -0.020053 0.013369 0.049095 0.006121 -0.012715 -0.003776 0.001878 0.022424 0.018777 -0.027456 0.012169 -0.012479 -0.020884 0.039301 -0.025656 -0.033398 -0.041456 0.002615 0.029426 0.009374 0.050820 0.007328 -0.025232 0.016415 -0.006037 0.046919 -0.007773 -0.006791 -0.015969 0.042310 0.001844 0.009518 0.036302 0.010220 0.006541 -0.044133 0.008869 0.000976 -0.019890 0.006814 0.005336 0.037563 0.003205 -0.005382 0.027646 0.000983 -0.018668 0.002729 0.017813 -0.039315 0.001530 0.002761 0.005633 0.012877 0.047762 -0.025129 -0.046545 0.001653 0.057184 0.019422 -0.006059 -0.021441
Building_Class 0.012207 1.000000 0.035882 -0.357007 -0.139852 -0.024937 0.119793 -0.002752 -0.022865 0.076301 -0.025814 -0.006511 -0.024790 -0.042425 0.746055 0.396980 0.032168 -0.059106 0.027734 0.040029 -0.118151 -0.025797 -0.089900 -0.138069 -0.017635 -0.003037 0.055586 -0.045393 -0.016890 -0.066340 0.013655 -0.069364 0.031069 -0.064813 -0.141426 -0.238327 0.047949 0.020925 -0.101646 0.051779 -0.251685 0.307557 0.046414 0.074583 0.004156 -0.002477 0.131076 0.178227 -0.023346 0.281672 0.010610 0.040201 0.021190 -0.046165 0.075637 -0.040749 -0.023978 -0.023833 -0.074495 -0.059769 -0.000809 -0.024245 0.030517 -0.043906 -0.026199 0.008244 0.012656 -0.024822 -0.084563
Zoning_Class -0.006048 0.035882 1.000000 -0.106340 -0.034453 0.087656 0.061923 -0.017845 -0.001193 -0.009877 -0.022062 -0.249772 -0.027875 0.044605 0.005678 -0.105342 -0.160159 0.186972 -0.308919 -0.174813 -0.000316 0.008385 -0.008598 0.006928 0.200554 -0.096034 -0.222232 0.121369 -0.013500 0.035582 0.022808 -0.049113 -0.034942 0.028155 -0.046795 -0.087826 0.056862 0.134291 -0.049516 -0.070773 -0.055608 -0.051517 0.011517 -0.082638 -0.018499 0.007185 -0.198394 -0.133907 -0.016466 0.049428 0.129029 -0.043211 -0.080108 -0.011382 0.105468 -0.157131 -0.009204 -0.165210 -0.094693 -0.100360 -0.001683 0.008140 -0.004564 0.000359 0.019081 -0.003130 0.097450 0.009500 -0.166896
Lot_Extent -0.009894 -0.357007 -0.106340 1.000000 0.306703 -0.037335 -0.144790 -0.075720 -0.000045 -0.181211 0.067550 0.084721 -0.008519 0.003189 -0.408508 0.031931 0.234405 -0.052905 0.117591 0.082952 0.153585 -0.048351 0.074705 0.099035 -0.183255 0.047915 0.091376 -0.155821 0.057130 -0.120802 -0.020627 0.215687 -0.012527 0.043100 0.122442 0.363328 -0.020774 -0.080073 0.068566 0.060045 0.414224 0.072618 0.036898 0.368490 0.091296 -0.006409 0.180658 0.048046 0.236997 -0.005729 -0.189306 0.320232 0.017487 0.235860 -0.198633 0.269983 -0.021743 0.083945 0.107740 0.088988 0.037003 0.032255 -0.009779 0.062337 0.037727 0.180881 -0.030924 0.058453 0.334988
Lot_Size -0.033191 -0.139852 -0.034453 0.306703 1.000000 -0.197129 -0.165317 -0.149076 0.010122 -0.121152 0.436867 0.044546 0.023845 0.022163 -0.205750 -0.033215 0.105797 -0.005621 0.014220 0.013754 0.077041 0.050595 0.004212 -0.003980 -0.057318 0.015175 -0.012820 -0.056976 0.016841 -0.139164 -0.059678 0.214190 -0.053575 0.111317 -0.002658 0.260870 0.028154 0.004223 0.049767 0.043915 0.299491 0.050965 0.004774 0.263119 0.158265 0.048037 0.126035 0.014316 0.119698 -0.017793 -0.056999 0.190009 -0.038104 0.271411 -0.105393 0.154886 0.006612 0.043782 0.079913 0.015146 0.029946 0.032514 0.003951 0.020418 0.043151 0.077670 0.012305 0.034178 0.263843
Road_Type 0.008849 -0.024937 0.087656 -0.037335 -0.197129 1.000000 -0.010259 0.115985 0.001683 0.013935 -0.179353 -0.011526 -0.071656 0.002040 -0.018226 0.023730 0.058871 0.042834 0.021146 0.065528 -0.019712 0.004561 0.002556 0.006223 0.050020 0.005858 0.034722 -0.031998 -0.020206 0.071330 -0.015202 -0.015684 0.050799 -0.038583 0.035283 0.005048 0.007910 -0.054008 0.069859 0.021267 0.005939 0.047028 0.007729 0.044147 -0.050594 0.015496 0.046533 0.027588 0.028858 0.013593 -0.025348 0.046844 -0.016744 -0.005308 0.011204 -0.019987 0.034675 -0.001749 0.021894 0.024509 -0.013731 0.019031 -0.002899 0.007479 -0.033149 0.004416 0.014326 0.006055 0.041057
Property_Shape 0.031270 0.119793 0.061923 -0.144790 -0.165317 -0.010259 1.000000 0.085292 -0.036094 0.220861 -0.099856 -0.038462 -0.115007 -0.043760 0.116503 -0.103777 -0.190166 0.013500 -0.226002 -0.153408 0.003436 -0.035283 -0.019892 -0.027339 0.149278 -0.029692 -0.121555 0.130300 -0.030622 0.130913 0.079325 -0.134528 -0.008452 -0.040555 -0.021175 -0.176061 0.075972 0.096133 -0.115417 -0.097673 -0.172774 -0.059820 0.020692 -0.174888 -0.076795 -0.026706 -0.158950 -0.111783 -0.050308 0.092649 0.121822 -0.119114 -0.021995 -0.193893 0.152827 -0.183479 0.001240 -0.115591 -0.099408 -0.113872 -0.043840 0.003954 0.002964 -0.036407 -0.052927 -0.020019 -0.001073 -0.038234 -0.255428
Land_Outline -0.020053 -0.002752 -0.017845 -0.075720 -0.149076 0.115985 0.085292 1.000000 0.008244 -0.025662 -0.374238 0.019310 0.024810 -0.016179 0.051236 0.075361 0.029086 -0.045357 0.161675 0.093615 -0.004141 0.036177 -0.011569 -0.033836 -0.003446 0.009726 0.049862 -0.003966 0.022338 0.044242 -0.074917 -0.018285 -0.028891 0.008276 0.020912 0.005092 0.015773 -0.066337 0.105359 0.082375 -0.042158 -0.034082 -0.098330 -0.068425 0.009539 0.019114 0.050605 0.029479 -0.040888 -0.038915 0.030649 -0.053393 0.023183 -0.052052 -0.064621 0.046009 0.027096 0.032987 0.062310 0.140867 -0.028181 -0.002822 -0.048729 -0.021379 0.003894 -0.013084 -0.025823 0.033766 0.015545
Utility_Type 0.013369 -0.022865 -0.001193 -0.000045 0.010122 0.001683 -0.036094 0.008244 1.000000 -0.032583 -0.005913 0.046806 -0.000951 -0.000832 -0.010786 0.054279 -0.001895 0.010001 -0.011509 -0.034108 -0.012878 -0.001859 -0.029720 -0.032139 0.017359 0.009542 -0.014151 0.022971 0.008235 0.017157 -0.010755 -0.019090 -0.016419 0.049979 -0.012660 -0.014226 -0.003224 0.006955 0.006912 -0.091698 0.012292 -0.020836 -0.003150 -0.008555 -0.021456 0.103378 -0.026890 -0.019928 0.004291 -0.005540 -0.010705 0.007764 0.006824 0.015709 -0.002164 0.008146 0.040737 0.007691 0.008073 0.007591 -0.003102 0.030214 -0.016936 -0.003048 0.102363 -0.001800 -0.126768 -0.089698 -0.014323
Lot_Configuration 0.049095 0.076301 -0.009877 -0.181211 -0.121152 0.013935 0.220861 -0.025662 -0.032583 1.000000 -0.007164 -0.036249 0.021474 0.033886 0.107420 -0.032728 -0.030767 -0.030951 0.013717 -0.004764 -0.010163 -0.006844 0.023800 0.006058 -0.002181 0.034753 -0.010068 0.017213 0.030362 0.013811 0.017581 -0.024164 -0.007980 -0.010992 -0.011011 -0.040245 0.000027 -0.010328 -0.003839 -0.025874 -0.062523 -0.051244 -0.004943 -0.089022 -0.013417 -0.009828 -0.007109 -0.026329 -0.056649 -0.002413 -0.010770 -0.049122 -0.013685 -0.060676 0.006033 -0.066574 0.013898 0.009429 -0.014990 -0.045185 -0.030952 0.001354 0.051272 -0.030435 -0.004546 -0.046775 0.014197 0.051500 -0.067234
Property_Slope 0.006121 -0.025814 -0.022062 0.067550 0.436867 -0.179353 -0.099856 -0.374238 -0.005913 -0.007164 1.000000 -0.080562 -0.016768 -0.026327 -0.053650 -0.031881 -0.066588 0.010414 -0.073674 -0.059273 -0.027818 0.019415 -0.045857 -0.033086 0.020925 0.000890 -0.030261 0.017409 0.007343 -0.163042 -0.061065 0.113995 -0.049023 0.085820 -0.116648 0.032571 0.005838 0.035716 -0.010808 -0.014154 0.068363 -0.009381 0.013870 0.043788 0.116387 0.070264 -0.047112 0.000971 -0.048172 -0.036501 -0.002613 -0.033819 -0.110996 0.123888 -0.004998 -0.002843 0.007333 0.010773 -0.017353 -0.024494 -0.002502 0.006396 0.028743 0.008676 0.052936 -0.015516 0.054910 -0.043064 0.051091
Neighborhood -0.012715 -0.006511 -0.249772 0.084721 0.044546 -0.011526 -0.038462 0.019310 0.046806 -0.036249 -0.080562 1.000000 -0.025429 0.022419 0.005749 0.048287 0.196211 -0.033391 0.101193 0.102154 0.109680 0.035663 -0.074449 -0.090026 -0.152132 0.034146 0.060033 -0.142670 0.033291 0.053741 -0.035693 0.113346 -0.012490 0.041960 0.014743 0.148083 -0.016036 -0.037891 0.049543 0.079323 0.164908 0.028448 0.033109 0.148021 0.063941 -0.028372 0.137380 0.058456 0.043143 0.063983 -0.128319 0.106421 0.011559 0.056925 -0.039081 0.193569 -0.004279 0.011543 0.081655 0.040530 0.010212 -0.041830 -0.047470 -0.024273 0.013539 -0.010482 -0.036779 0.021998 0.210667
Condition1 -0.003776 -0.024790 -0.027875 -0.008519 0.023845 -0.071656 -0.115007 0.024810 -0.000951 0.021474 -0.016768 -0.025429 1.000000 -0.074269 -0.023513 0.096711 0.100107 -0.032235 0.158303 0.136641 0.002944 0.022785 0.013123 0.003621 -0.074889 0.076854 0.070005 -0.099223 0.013796 -0.020793 -0.032858 0.031010 -0.017338 0.028760 0.014652 0.057556 -0.023186 -0.075651 0.012779 0.080059 0.048179 0.017405 -0.051645 0.045124 0.026553 -0.058336 0.095994 0.060302 0.013687 -0.075730 -0.050019 0.052518 -0.006393 0.005856 -0.032101 0.104252 -0.000368 0.096458 0.080328 0.105874 -0.007160 0.011411 0.016919 0.070608 0.011036 0.008741 -0.002330 0.057753 0.091150
Condition2 0.001878 -0.042425 0.044605 0.003189 0.022163 0.002040 -0.043760 -0.016179 -0.000832 0.033886 -0.026327 0.022419 -0.074269 1.000000 0.009005 -0.026955 0.014925 0.014503 0.028799 0.007493 0.041430 -0.002254 -0.005402 -0.015786 -0.028529 -0.020973 -0.006674 0.009791 0.033941 0.004454 0.014851 0.013250 -0.009519 0.054191 0.016847 0.050651 -0.003908 -0.017426 -0.023793 0.019691 0.039994 -0.000290 -0.040224 0.025462 -0.000507 -0.007657 0.020249 0.023218 -0.014259 0.029310 -0.038482 0.020808 0.008273 -0.013800 0.051261 0.024043 0.027914 -0.016057 0.043271 -0.006782 0.032808 -0.062374 -0.015367 -0.003695 -0.008583 -0.002182 0.004855 0.045079 0.007504
House_Type 0.022424 0.746055 0.005678 -0.408508 -0.205750 -0.018226 0.116503 0.051236 -0.010786 0.107420 -0.053650 0.005749 -0.023513 0.009005 1.000000 0.066409 0.049624 -0.161949 0.217542 0.104623 -0.054535 -0.029232 -0.112488 -0.143176 -0.088105 0.085179 0.144565 -0.121565 0.021599 -0.052278 -0.054890 0.007241 0.002846 -0.016964 -0.050851 -0.049911 0.005515 -0.010322 0.018273 0.074250 -0.073626 -0.084460 -0.030375 -0.127133 0.051873 -0.003481 0.070498 -0.007246 -0.277515 0.182880 -0.024313 -0.198522 0.038800 -0.090243 -0.015451 0.007116 -0.013389 0.053277 0.003893 0.059477 -0.000579 -0.035150 0.039940 -0.022879 -0.028124 -0.028301 -0.040221 -0.003472 -0.085720
House_Design 0.018777 0.396980 -0.105342 0.031931 -0.033215 0.023730 -0.103777 0.075361 0.054279 -0.032728 -0.031881 0.048287 0.096711 -0.026955 0.066409 1.000000 0.218213 -0.031192 0.270448 0.209703 -0.032818 0.010075 -0.036888 -0.071503 -0.092928 0.067730 0.167022 -0.117921 0.033489 -0.186017 -0.039632 0.011150 0.040334 -0.027128 -0.143776 -0.143153 -0.075430 -0.069825 0.075168 0.170954 -0.172282 0.476398 -0.083248 0.261245 0.037875 0.041638 0.237546 0.415419 0.184918 -0.004324 -0.083111 0.245692 0.080835 0.101857 -0.075515 0.196469 0.048414 0.079972 0.075775 0.115703 -0.041032 0.004956 -0.012113 -0.026980 -0.025427 0.076612 0.048705 0.022834 0.180035
Overall_Material -0.027456 0.032168 -0.160159 0.234405 0.105797 0.058871 -0.190166 0.029086 -0.001895 -0.030767 -0.066588 0.196211 0.100107 0.014925 0.049624 0.218213 1.000000 -0.091749 0.572342 0.550453 0.167459 0.056815 0.160894 0.151839 -0.635012 0.138816 0.351019 -0.515052 0.098310 -0.216392 0.047829 0.240239 0.167717 -0.058354 0.307794 0.538210 -0.113046 -0.425902 0.272248 0.254845 0.476468 0.295187 -0.030502 0.592916 0.111773 -0.040291 0.550358 0.274328 0.101789 -0.184040 -0.555156 0.427386 0.171165 0.396455 -0.254803 0.600458 0.019565 0.182137 0.305555 0.229607 0.034532 -0.036698 0.018267 0.030314 0.064755 0.065143 -0.060316 0.193861 0.790972
House_Condition 0.012169 -0.059106 0.186972 -0.052905 -0.005621 0.042834 0.013500 -0.045357 0.010001 -0.030951 0.010414 -0.033391 -0.032235 0.014503 -0.161949 -0.031192 -0.091749 1.000000 -0.375953 0.074021 -0.009927 0.024906 -0.040888 -0.027767 0.169433 -0.227524 -0.303635 0.259200 0.020278 0.087404 -0.074171 -0.046466 -0.045913 0.039867 -0.136637 -0.171237 -0.090743 0.052260 0.118909 0.062920 -0.144276 0.029158 0.025527 -0.079567 -0.055257 0.117892 -0.193961 -0.061125 0.012938 -0.086951 0.067793 -0.057505 0.059504 -0.023580 0.160040 -0.185565 -0.009513 -0.086550 -0.007391 -0.062317 0.045504 0.004683 -0.041782 0.025535 0.054885 -0.001967 0.095193 0.017705 -0.077754
Construction_Year -0.012479 0.027734 -0.308919 0.117591 0.014220 0.021146 -0.226002 0.161675 -0.011509 0.013717 -0.073674 0.101193 0.158303 0.028799 0.217542 0.270448 0.572342 -0.375953 1.000000 0.592915 0.048870 -0.017576 0.097136 0.075582 -0.494441 0.269518 0.607654 -0.499740 0.165949 -0.293665 -0.130516 0.249689 0.084824 -0.048931 0.148952 0.391550 -0.172355 -0.398646 0.381883 0.337721 0.282030 0.010197 -0.183805 0.198959 0.187838 -0.038197 0.468301 0.242960 -0.070630 -0.174836 -0.359105 0.095549 0.170926 0.147629 -0.399842 0.537906 0.023564 0.373273 0.328086 0.427620 0.007470 -0.045253 -0.006792 0.031339 -0.050405 0.004940 -0.052383 0.201080 0.522877
Remodel_Year -0.020884 0.040029 -0.174813 0.082952 0.013754 0.065528 -0.153408 0.093615 -0.034108 -0.004764 -0.059273 0.102154 0.136641 0.007493 0.104623 0.209703 0.550453 0.074021 0.592915 1.000000 0.027415 -0.026860 0.239173 0.215743 -0.483263 0.076245 0.399193 -0.412017 0.051936 -0.197623 -0.001082 0.129082 0.125336 -0.066836 0.180605 0.291477 -0.157606 -0.495658 0.299154 0.344097 0.240620 0.139574 -0.062519 0.287178 0.120290 -0.012500 0.438667 0.184294 -0.040486 -0.149787 -0.452148 0.191597 0.092708 0.112024 -0.248359 0.420230 0.010031 0.165640 0.176257 0.168707 0.045551 -0.061183 -0.010530 0.045224 -0.038932 0.005786 0.019861 0.221898 0.507015
Roof_Design 0.039301 -0.118151 -0.000316 0.153585 0.077041 -0.019712 0.003436 -0.004141 -0.012878 -0.010163 -0.027818 0.109680 0.002944 0.041430 -0.054535 -0.032818 0.167459 -0.009927 0.048870 0.027415 1.000000 0.026657 -0.036383 -0.066178 -0.193461 0.026594 0.016150 -0.125247 -0.003953 -0.016206 -0.037982 0.189716 0.017212 0.014992 0.050233 0.253294 -0.038273 -0.015237 0.013318 0.029598 0.298040 -0.073229 -0.020383 0.156566 0.086185 0.001765 0.022795 -0.013213 0.023204 0.004032 -0.116933 0.145774 -0.001958 0.122988 -0.051017 0.132061 0.028571 0.055162 0.047688 -0.004601 -0.002139 0.047825 -0.016533 0.022408 0.066583 0.019907 -0.032843 0.066022 0.222295
Roof_Quality -0.025656 -0.025797 0.008385 -0.048351 0.050595 0.004561 -0.035283 0.036177 -0.001859 -0.006844 0.019415 0.035663 0.022785 -0.002254 -0.029232 0.010075 0.056815 0.024906 -0.017576 -0.026860 0.026657 1.000000 0.009811 0.001426 -0.009393 -0.034342 -0.018959 -0.012915 -0.010923 -0.037744 -0.011496 -0.057280 0.005945 -0.006318 0.027584 -0.034086 -0.000443 0.070908 0.008812 0.023843 0.053204 0.011077 0.077838 0.055548 0.007911 0.054643 0.011563 0.048250 -0.000372 -0.037229 -0.031962 0.027064 0.023956 0.015990 -0.019335 0.038456 0.024951 -0.037851 0.007583 0.020573 0.044829 0.000696 -0.007632 -0.029965 0.089105 -0.076880 0.009670 -0.038554 0.134611
Exterior1st -0.033398 -0.089900 -0.008598 0.074705 0.004212 0.002556 -0.019892 -0.011569 -0.029720 0.023800 -0.045857 -0.074449 0.013123 -0.005402 -0.112488 -0.036888 0.160894 -0.040888 0.097136 0.239173 -0.036383 0.009811 1.000000 0.854026 -0.139443 0.018742 0.106923 -0.131104 -0.018559 -0.050684 0.154022 -0.065991 0.076925 -0.053576 0.134169 0.046820 -0.066295 -0.246963 0.030923 0.032148 0.005329 0.069448 0.039536 0.065263 -0.008611 0.000287 0.115494 -0.005523 -0.000449 -0.089193 -0.122061 0.066480 0.023527 0.006558 -0.004054 0.123891 0.015489 0.011682 0.035015 -0.055836 -0.005249 -0.019169 0.009550 -0.037193 -0.047184 -0.001420 0.012006 0.062742 0.103276
Exterior2nd -0.041456 -0.138069 0.006928 0.099035 -0.003980 0.006223 -0.027339 -0.033836 -0.032139 0.006058 -0.033086 -0.090026 0.003621 -0.015786 -0.143176 -0.071503 0.151839 -0.027767 0.075582 0.215743 -0.066178 0.001426 0.854026 1.000000 -0.115021 0.031844 0.109826 -0.125465 -0.027714 -0.039462 0.149988 -0.079097 0.042696 -0.034803 0.132339 0.038252 -0.033578 -0.235165 0.014567 -0.019830 0.017574 0.062669 0.026923 0.067475 -0.012500 -0.046880 0.113693 -0.009336 0.005420 -0.054768 -0.110528 0.068272 -0.003873 0.016915 0.003726 0.123198 -0.009934 -0.020796 0.026269 -0.041747 -0.010555 -0.023220 0.021737 -0.017672 -0.020400 -0.017612 0.020299 0.068935 0.103471
Exterior_Material 0.002615 -0.017635 0.200554 -0.183255 -0.057318 0.050020 0.149278 -0.003446 0.017359 -0.002181 0.020925 -0.152132 -0.074889 -0.028529 -0.088105 -0.092928 -0.635012 0.169433 -0.494441 -0.483263 -0.193461 -0.009393 -0.139443 -0.115021 1.000000 -0.057914 -0.384070 0.551284 -0.005681 0.214401 -0.040171 -0.194183 -0.095370 0.069436 -0.267643 -0.445834 0.054810 0.432741 -0.086844 -0.155828 -0.383726 -0.151411 0.000637 -0.408024 -0.100668 0.056402 -0.413590 -0.157960 0.042768 0.104341 0.642280 -0.289486 -0.077173 -0.222844 0.203734 -0.450784 -0.002579 -0.112535 -0.135079 -0.106584 -0.050723 0.014734 -0.007607 -0.035231 -0.014867 -0.034237 0.087201 -0.188502 -0.637279
Exterior_Condition 0.029426 -0.003037 -0.096034 0.047915 0.015175 0.005858 -0.029692 0.009726 0.009542 0.034753 0.000890 0.034146 0.076854 -0.020973 0.085179 0.067730 0.138816 -0.227524 0.269518 0.076245 0.026594 -0.034342 0.018742 0.031844 -0.057914 1.000000 0.143685 -0.134191 0.203463 -0.060138 0.008808 0.040716 0.023433 -0.019182 0.082945 0.118795 -0.031322 -0.040224 0.101250 0.015163 0.065495 0.001104 -0.074085 0.042248 0.011385 -0.061215 0.091776 0.098344 -0.025249 -0.007948 -0.041780 0.030868 0.036762 0.044510 -0.066301 0.180062 0.066339 0.050234 0.120188 0.143367 0.017961 0.001040 0.004074 0.010838 -0.016719 -0.033245 0.008710 0.054183 0.117420
Foundation_Type 0.009374 0.055586 -0.222232 0.091376 -0.012820 0.034722 -0.121555 0.049862 -0.014151 -0.010068 -0.030261 0.060033 0.070005 -0.006674 0.144565 0.167022 0.351019 -0.303635 0.607654 0.399193 0.016150 -0.018959 0.106923 0.109826 -0.384070 0.143685 1.000000 -0.477366 0.021023 -0.209165 0.003053 0.078395 -0.059835 -0.094196 0.061862 0.109168 0.010161 -0.325304 0.142598 0.162931 0.181270 0.091488 -0.086566 0.201346 0.047646 -0.065854 0.372113 0.120061 -0.010217 0.025367 -0.292842 0.136794 0.061337 0.057270 -0.256853 0.357056 -0.020650 0.258530 0.163029 0.165728 -0.012972 -0.035777 -0.021052 0.046125 -0.068690 -0.002280 0.018037 0.135721 0.345630
Basement_Height 0.050820 -0.045393 0.121369 -0.155821 -0.056976 -0.031998 0.130300 -0.003966 0.022971 0.017213 0.017409 -0.142670 -0.099223 0.009791 -0.121565 -0.117921 -0.515052 0.259200 -0.499740 -0.412017 -0.125247 -0.012915 -0.131104 -0.125465 0.551284 -0.134191 -0.477366 1.000000 0.041878 0.273125 -0.052007 -0.192945 0.002022 0.104757 -0.118304 -0.281192 -0.000351 0.347051 -0.063998 -0.107192 -0.342769 -0.099440 0.076865 -0.327669 -0.111131 0.051500 -0.417443 -0.106627 0.092363 0.019225 0.476904 -0.227886 -0.041775 -0.169232 0.176742 -0.449187 -0.014547 -0.088065 -0.096567 -0.100368 -0.016099 0.031027 -0.005989 -0.017993 0.012532 -0.024375 0.059159 -0.175156 -0.552886
Basement_Condition 0.007328 -0.016890 -0.013500 0.057130 0.016841 -0.020206 -0.030622 0.022338 0.008235 0.030362 0.007343 0.033291 0.013796 0.033941 0.021599 0.033489 0.098310 0.020278 0.165949 0.051936 -0.003953 -0.010923 -0.018559 -0.027714 -0.005681 0.203463 0.021023 0.041878 1.000000 -0.028898 -0.091793 0.105457 0.109833 -0.008237 0.022109 0.128855 -0.101486 -0.063289 0.193705 0.140790 0.034464 -0.036028 -0.072689 -0.011295 0.068167 -0.049811 0.011078 0.082861 -0.033765 -0.064929 -0.006058 -0.026396 0.081973 0.042505 -0.073080 0.072503 -0.026175 0.054835 0.140695 0.156727 -0.021938 -0.026301 -0.054290 0.030243 0.025631 0.021607 0.027227 0.025556 0.087988
Exposure_Level -0.025232 -0.066340 0.035582 -0.120802 -0.139164 0.071330 0.130913 0.044242 0.017157 0.013811 -0.163042 0.053741 -0.020793 0.004454 -0.052278 -0.186017 -0.216392 0.087404 -0.293665 -0.197623 -0.016206 -0.037744 -0.050684 -0.039462 0.214401 -0.060138 -0.209165 0.273125 -0.028898 1.000000 0.162314 -0.250011 0.068164 -0.049385 0.060648 -0.216955 0.031445 0.112567 -0.069918 -0.112863 -0.237171 0.130863 0.062291 -0.060034 -0.256313 -0.049781 -0.090741 0.078465 0.120315 0.042487 0.195641 -0.006636 -0.046943 -0.099167 0.178645 -0.219954 -0.019860 -0.092781 -0.060614 -0.080253 -0.008627 0.001510 -0.042413 0.013558 -0.001061 -0.053856 -0.004197 -0.070153 -0.275528
BsmtFinType1 0.016415 0.013655 0.022808 -0.020627 -0.059678 -0.015202 0.079325 -0.074917 -0.010755 0.017581 -0.061065 -0.035693 -0.032858 0.014851 -0.054890 -0.039632 0.047829 -0.074171 -0.130516 -0.001082 -0.037982 -0.011496 0.154022 0.149988 -0.040171 0.008808 0.003053 -0.052007 -0.091793 0.162314 1.000000 -0.554267 0.124311 -0.139548 0.503163 -0.120759 0.043507 -0.081335 -0.132042 -0.124696 -0.107962 0.191266 0.079208 0.086767 -0.463263 -0.108586 0.094804 0.034005 0.111096 0.092610 -0.031343 0.143031 0.004034 -0.095881 0.131826 -0.016828 0.001148 -0.137768 -0.106975 -0.214824 -0.024742 -0.001410 0.034104 -0.044693 -0.027742 -0.035345 -0.052109 0.011046 -0.067518
BsmtFinSF1 -0.006037 -0.069364 -0.049113 0.215687 0.214190 -0.015684 -0.134528 -0.018285 -0.019090 -0.024164 0.113995 0.113346 0.031010 0.013250 0.007241 0.011150 0.240239 -0.046466 0.249689 0.129082 0.189716 -0.057280 -0.065991 -0.079097 -0.194183 0.040716 0.078395 -0.192945 0.105457 -0.250011 -0.554267 1.000000 0.084688 -0.051047 -0.494968 0.522298 -0.068600 -0.054220 0.166359 0.152293 0.445841 -0.136680 -0.064449 0.208527 0.649001 0.067576 0.059175 0.003552 -0.107477 -0.080905 -0.191803 0.044513 0.033601 0.260708 -0.214234 0.224786 0.027690 0.156204 0.144239 0.189429 0.036481 0.038598 0.007651 0.026525 0.062194 0.140566 0.005351 0.032742 0.386783
BsmtFinType2 0.046919 0.031069 -0.034942 -0.012527 -0.053575 0.050799 -0.008452 -0.028891 -0.016419 -0.007980 -0.049023 -0.012490 -0.017338 -0.009519 0.002846 0.040334 0.167717 -0.045913 0.084824 0.125336 0.017212 0.005945 0.076925 0.042696 -0.095370 0.023433 -0.059835 0.002022 0.109833 0.068164 0.124311 0.084688 1.000000 -0.654624 0.279188 0.128613 -0.074891 -0.118512 0.040040 0.045452 -0.020534 0.093817 -0.023891 0.060607 -0.071397 -0.063843 0.068397 0.107809 0.006238 -0.086823 -0.086887 0.036865 0.144845 0.013861 -0.020325 0.066231 -0.013008 -0.040658 0.013832 0.001553 -0.035265 0.007759 0.016550 0.005692 -0.011479 -0.031863 -0.020292 0.040328 0.097850
BsmtFinSF2 -0.007773 -0.064813 0.028155 0.043100 0.111317 -0.038583 -0.040555 0.008276 0.049979 -0.010992 0.085820 0.041960 0.028760 0.054191 -0.016964 -0.027128 -0.058354 0.039867 -0.048931 -0.066836 0.014992 -0.006318 -0.053576 -0.034803 0.069436 -0.019182 -0.094196 0.104757 -0.008237 -0.049385 -0.139548 -0.051047 -0.654624 1.000000 -0.208515 0.104430 -0.009038 0.095711 0.039695 0.014340 0.096945 -0.098536 0.014943 -0.009137 0.157721 0.071255 -0.075468 -0.033461 -0.015910 -0.040565 0.061163 -0.034925 -0.090651 0.047957 -0.027337 -0.037244 -0.001729 0.056898 0.036195 0.063692 0.006011 -0.024451 -0.016607 -0.029897 0.089223 0.041813 -0.030322 -0.059355 -0.010952
BsmtUnfSF -0.006791 -0.141426 -0.046795 0.122442 -0.002658 0.035283 -0.021175 0.020912 -0.012660 -0.011011 -0.116648 0.014743 0.014652 0.016847 -0.050851 -0.143776 0.307794 -0.136637 0.148952 0.180605 0.050233 0.027584 0.134169 0.132339 -0.267643 0.082945 0.061862 -0.118304 0.022109 0.060648 0.503163 -0.494968 0.279188 -0.208515 1.000000 0.415828 -0.051101 -0.208567 0.020244 -0.000314 0.318259 0.003939 0.028096 0.240025 -0.422475 -0.095999 0.288398 -0.040330 0.166809 0.029955 -0.204453 0.250524 0.059548 0.050971 -0.066429 0.213635 -0.003595 -0.041393 0.031864 -0.009963 -0.009943 -0.035976 0.007787 0.020693 -0.012765 -0.035150 -0.088893 0.097893 0.214281
Total_Basement_Area -0.015969 -0.238327 -0.087826 0.363328 0.260870 0.005048 -0.176061 0.005092 -0.014226 -0.040245 0.032571 0.148083 0.057556 0.050651 -0.049911 -0.143153 0.538210 -0.171237 0.391550 0.291477 0.253294 -0.034086 0.046820 0.038252 -0.445834 0.118795 0.109168 -0.281192 0.128855 -0.216955 -0.120759 0.522298 0.128613 0.104430 0.415828 1.000000 -0.126084 -0.231206 0.207895 0.163256 0.819529 -0.174315 -0.033211 0.455092 0.307158 -0.000240 0.324181 -0.049214 0.050403 -0.068841 -0.382772 0.285701 0.061579 0.339944 -0.299623 0.435091 0.024526 0.141595 0.195316 0.210276 0.030117 -0.005089 0.009693 0.037423 0.084581 0.126084 -0.095091 0.110798 0.613792
Heating_Type 0.042310 0.047949 0.056862 -0.020774 0.028154 0.007910 0.075972 0.015773 -0.003224 0.000027 0.005838 -0.016036 -0.023186 -0.003908 0.005515 -0.075430 -0.113046 -0.090743 -0.172355 -0.157606 -0.038273 -0.000443 -0.066295 -0.033578 0.054810 -0.031322 0.010161 -0.000351 -0.101486 0.031445 0.043507 -0.068600 -0.074891 -0.009038 -0.051101 -0.126084 1.000000 0.018003 -0.409928 -0.196833 -0.047111 0.019438 0.014569 -0.017167 -0.060546 -0.010228 -0.004087 -0.052074 -0.016843 0.121530 0.016841 -0.000661 -0.061229 -0.052296 0.094649 -0.070525 -0.024455 -0.104950 -0.106746 -0.142044 0.037560 0.021272 0.004378 -0.014325 0.000176 -0.008458 0.011713 0.006686 -0.098854
Heating_Quality 0.001844 0.020925 0.134291 -0.080073 0.004223 -0.054008 0.096133 -0.066337 0.006955 -0.010328 0.035716 -0.037891 -0.075651 -0.017426 -0.010322 -0.069825 -0.425902 0.052260 -0.398646 -0.495658 -0.015237 0.070908 -0.246963 -0.235165 0.432741 -0.040224 -0.325304 0.347051 -0.063289 0.112567 -0.081335 -0.054220 -0.118512 0.095711 -0.208567 -0.231206 0.018003 1.000000 -0.164312 -0.143091 -0.165616 -0.142302 0.022973 -0.237921 -0.061216 0.037636 -0.316873 -0.100521 0.047295 0.156322 0.388181 -0.158974 -0.076528 -0.122613 0.148811 -0.302545 0.013354 -0.057835 -0.101423 -0.099195 -0.018747 0.052641 0.009360 -0.054330 0.055858 0.027546 -0.016617 -0.169931 -0.400135
Air_Conditioning 0.009518 -0.101646 -0.049516 0.068566 0.049767 0.069859 -0.115417 0.105359 0.006912 -0.003839 -0.010808 0.049543 0.012779 -0.023793 0.018273 0.075168 0.272248 0.118909 0.381883 0.299154 0.013318 0.008812 0.030923 0.014567 -0.086844 0.101250 0.142598 -0.063998 0.193705 -0.069918 -0.132042 0.166359 0.040040 0.039695 0.020244 0.207895 -0.409928 -0.164312 1.000000 0.311048 0.146915 -0.011662 -0.050128 0.093765 0.114453 0.040370 0.109554 0.134488 0.007842 -0.246769 -0.049433 0.034569 0.082105 0.186543 -0.150975 0.234002 -0.004545 0.237840 0.321578 0.337482 -0.028517 0.013910 -0.019525 0.030714 0.051258 0.018135 -0.004109 0.071131 0.251426
Electrical_System 0.036302 0.051779 -0.070773 0.060045 0.043915 0.021267 -0.097673 0.082375 -0.091698 -0.025874 -0.014154 0.079323 0.080059 0.019691 0.074250 0.170954 0.254845 0.062920 0.337721 0.344097 0.029598 0.023843 0.032148 -0.019830 -0.155828 0.015163 0.162931 -0.107192 0.140790 -0.112863 -0.124696 0.152293 0.045452 0.014340 -0.000314 0.163256 -0.196833 -0.143091 0.311048 1.000000 0.120694 0.051065 -0.044196 0.127124 0.123924 0.021221 0.210630 0.132087 0.047029 -0.131152 -0.083444 0.082201 0.053901 0.122646 -0.133549 0.243429 -0.004657 0.148612 0.168645 0.212765 0.044325 0.012986 0.005056 0.006461 0.005707 0.020830 0.008987 0.101993 0.235138
First_Floor_Area 0.010220 -0.251685 -0.055608 0.414224 0.299491 0.005939 -0.172774 -0.042158 0.012292 -0.062523 0.068363 0.164908 0.048179 0.039994 -0.073626 -0.172282 0.476468 -0.144276 0.282030 0.240620 0.298040 0.053204 0.005329 0.017574 -0.383726 0.065495 0.181270 -0.342769 0.034464 -0.237171 -0.107962 0.445841 -0.020534 0.096945 0.318259 0.819529 -0.047111 -0.165616 0.146915 0.120694 1.000000 -0.202562 -0.014221 0.566164 0.244595 0.001996 0.380952 -0.120184 0.127377 0.068138 -0.356958 0.409591 -0.091185 0.410824 -0.292160 0.439655 -0.001510 0.137279 0.187855 0.163372 0.046328 0.030649 0.025592 0.056125 0.088807 0.131539 -0.118494 0.075861 0.605971
Second_Floor_Area 0.006541 0.307557 -0.051517 0.072618 0.050965 0.047028 -0.059820 -0.034082 -0.020836 -0.051244 -0.009381 0.028448 0.017405 -0.000290 -0.084460 0.476398 0.295187 0.029158 0.010197 0.139574 -0.073229 0.011077 0.069448 0.062669 -0.151411 0.001104 0.091488 -0.099440 -0.036028 0.130863 0.191266 -0.136680 0.093817 -0.098536 0.003939 -0.174315 0.019438 -0.142302 -0.011662 0.051065 -0.202562 1.000000 0.063301 0.687438 -0.168998 -0.023992 0.421062 0.610824 0.503104 0.059204 -0.141918 0.616404 0.017281 0.194145 0.088948 0.183472 -0.037737 -0.028371 0.047277 -0.040736 0.005745 -0.037264 -0.004977 -0.024426 0.040469 0.081467 0.053529 0.037974 0.319193
LowQualFinSF -0.044133 0.046414 0.011517 0.036898 0.004774 0.007729 0.020692 -0.098330 -0.003150 -0.004943 0.013870 0.033109 -0.051645 -0.040224 -0.030375 -0.083248 -0.030502 0.025527 -0.183805 -0.062519 -0.020383 0.077838 0.039536 0.026923 0.000637 -0.074085 -0.086566 0.076865 -0.072689 0.062291 0.079208 -0.064449 -0.023891 0.014943 0.028096 -0.033211 0.014569 0.022973 -0.050128 -0.044196 -0.014221 0.063301 1.000000 0.134654 -0.047072 -0.005862 -0.000794 -0.026993 0.105622 0.007504 -0.010581 0.131164 -0.025362 -0.021357 0.060767 -0.094599 -0.053238 -0.089779 -0.137438 -0.065483 0.004113 -0.031527 -0.007576 -0.004305 0.026778 0.062152 0.014471 -0.070745 -0.025642
Grade_Living_Area 0.008869 0.074583 -0.082638 0.368490 0.263119 0.044147 -0.174888 -0.068425 -0.008555 -0.089022 0.043788 0.148021 0.045124 0.025462 -0.127133 0.261245 0.592916 -0.079567 0.198959 0.287178 0.156566 0.055548 0.065263 0.067475 -0.408024 0.042248 0.201346 -0.327669 -0.011295 -0.060034 0.086767 0.208527 0.060607 -0.009137 0.240025 0.455092 -0.017167 -0.237921 0.093765 0.127124 0.566164 0.687438 0.134654 1.000000 0.035229 -0.019002 0.629944 0.416437 0.521373 0.100001 -0.381483 0.825479 -0.055081 0.461539 -0.135447 0.467108 -0.037382 0.069128 0.164761 0.080302 0.039238 -0.011321 0.013993 0.020606 0.101430 0.170197 -0.041378 0.080808 0.708584
Underground_Full_Bathroom 0.000976 0.004156 -0.018499 0.091296 0.158265 -0.050594 -0.076795 0.009539 -0.021456 -0.013417 0.116387 0.063941 0.026553 -0.000507 0.051873 0.037875 0.111773 -0.055257 0.187838 0.120290 0.086185 0.007911 -0.008611 -0.012500 -0.100668 0.011385 0.047646 -0.111131 0.068167 -0.256313 -0.463263 0.649001 -0.071397 0.157721 -0.422475 0.307158 -0.060546 -0.061216 0.114453 0.123924 0.244595 -0.168998 -0.047072 0.035229 1.000000 -0.147753 -0.063783 -0.031867 -0.150862 -0.041360 -0.121555 -0.053057 0.029639 0.138751 -0.154234 0.132765 0.020596 0.099055 0.069880 0.115060 0.021408 -0.003216 0.025920 -0.000018 0.023363 0.067696 0.029065 0.011233 0.227551
Underground_Half_Bathroom -0.019890 -0.002477 0.007185 -0.006409 0.048037 0.015496 -0.026706 0.019114 0.103378 -0.009828 0.070264 -0.028372 -0.058336 -0.007657 -0.003481 0.041638 -0.040291 0.117892 -0.038197 -0.012500 0.001765 0.054643 0.000287 -0.046880 0.056402 -0.061215 -0.065854 0.051500 -0.049811 -0.049781 -0.108586 0.067576 -0.063843 0.071255 -0.095999 -0.000240 -0.010228 0.037636 0.040370 0.021221 0.001996 -0.023992 -0.005862 -0.019002 -0.147753 1.000000 -0.054726 -0.012144 0.046547 -0.037981 0.032863 -0.023890 -0.029004 0.028828 -0.015183 -0.021069 0.047929 0.043281 0.032414 0.040991 0.007629 0.011584 -0.031744 0.035095 0.032078 0.020014 0.001729 -0.059232 -0.016915
Full_Bathroom_Above_Grade 0.006814 0.131076 -0.198394 0.180658 0.126035 0.046533 -0.158950 0.050605 -0.026890 -0.007109 -0.047112 0.137380 0.095994 0.020249 0.070498 0.237546 0.550358 -0.193961 0.468301 0.438667 0.022795 0.011563 0.115494 0.113693 -0.413590 0.091776 0.372113 -0.417443 0.011078 -0.090741 0.094804 0.059175 0.068397 -0.075468 0.288398 0.324181 -0.004087 -0.316873 0.109554 0.210630 0.380952 0.421062 -0.000794 0.629944 -0.063783 -0.054726 1.000000 0.137364 0.363502 0.133017 -0.337240 0.554780 0.031433 0.243165 -0.235529 0.469289 -0.033457 0.132407 0.157787 0.129689 0.023183 -0.006932 0.002087 0.035284 -0.008299 0.049573 -0.035252 0.144064 0.560604
Half_Bathroom_Above_Grade 0.005336 0.178227 -0.133907 0.048046 0.014316 0.027588 -0.111783 0.029479 -0.019928 -0.026329 0.000971 0.058456 0.060302 0.023218 -0.007246 0.415419 0.274328 -0.061125 0.242960 0.184294 -0.013213 0.048250 -0.005523 -0.009336 -0.157960 0.098344 0.120061 -0.106627 0.082861 0.078465 0.034005 0.003552 0.107809 -0.033461 -0.040330 -0.049214 -0.052074 -0.100521 0.134488 0.132087 -0.120184 0.610824 -0.026993 0.416437 -0.031867 -0.012144 0.137364 1.000000 0.226633 -0.068121 -0.138527 0.343873 0.066383 0.204618 -0.065116 0.220235 -0.007826 0.068671 0.129681 0.107963 0.022990 -0.024646 -0.008558 -0.004877 0.072693 0.022451 0.031564 0.071997 0.284626
Bedroom_Above_Grade 0.037563 -0.023346 -0.016466 0.236997 0.119698 0.028858 -0.050308 -0.040888 0.004291 -0.056649 -0.048172 0.043143 0.013687 -0.014259 -0.277515 0.184918 0.101789 0.012938 -0.070630 -0.040486 0.023204 -0.000372 -0.000449 0.005420 0.042768 -0.025249 -0.010217 0.092363 -0.033765 0.120315 0.111096 -0.107477 0.006238 -0.015910 0.166809 0.050403 -0.016843 0.047295 0.007842 0.047029 0.127377 0.503104 0.105622 0.521373 -0.150862 0.046547 0.363502 0.226633 1.000000 0.198625 0.037615 0.676685 -0.037690 0.107711 -0.019298 0.086254 -0.032290 0.015019 -0.004701 -0.032261 0.009415 0.001941 -0.005317 -0.024465 0.044332 0.070711 0.034090 -0.017382 0.168272
Kitchen_Above_Grade 0.003205 0.281672 0.049428 -0.005729 -0.017793 0.013593 0.092649 -0.038915 -0.005540 -0.002413 -0.036501 0.063983 -0.075730 0.029310 0.182880 -0.004324 -0.184040 -0.086951 -0.174836 -0.149787 0.004032 -0.037229 -0.089193 -0.054768 0.104341 -0.007948 0.025367 0.019225 -0.064929 0.042487 0.092610 -0.080905 -0.086823 -0.040565 0.029955 -0.068841 0.121530 0.156322 -0.246769 -0.131152 0.068138 0.059204 0.007504 0.100001 -0.041360 -0.037981 0.133017 -0.068121 0.198625 1.000000 0.119670 0.256012 -0.049025 -0.124114 0.071556 -0.050802 -0.028912 -0.126869 -0.161905 -0.170468 -0.021682 0.023616 0.003351 -0.024618 -0.051655 -0.014535 -0.009745 -0.066085 -0.135979
Kitchen_Quality -0.005382 0.010610 0.129029 -0.189306 -0.056999 -0.025348 0.121822 0.030649 -0.010705 -0.010770 -0.002613 -0.128319 -0.050019 -0.038482 -0.024313 -0.083111 -0.555156 0.067793 -0.359105 -0.452148 -0.116933 -0.031962 -0.122061 -0.110528 0.642280 -0.041780 -0.292842 0.476904 -0.006058 0.195641 -0.031343 -0.191803 -0.086887 0.061163 -0.204453 -0.382772 0.016841 0.388181 -0.049433 -0.083444 -0.356958 -0.141918 -0.010581 -0.381483 -0.121555 0.032863 -0.337240 -0.138527 0.037615 0.119670 1.000000 -0.263435 -0.089471 -0.227636 0.168036 -0.364775 -0.007795 -0.030466 -0.074161 -0.051141 -0.054047 0.032120 -0.035337 -0.010588 -0.026471 -0.058797 0.038428 -0.134536 -0.589123
Rooms_Above_Grade 0.027646 0.040201 -0.043211 0.320232 0.190009 0.046844 -0.119114 -0.053393 0.007764 -0.049122 -0.033819 0.106421 0.052518 0.020808 -0.198522 0.245692 0.427386 -0.057505 0.095549 0.191597 0.145774 0.027064 0.066480 0.068272 -0.289486 0.030868 0.136794 -0.227886 -0.026396 -0.006636 0.143031 0.044513 0.036865 -0.034925 0.250524 0.285701 -0.000661 -0.158974 0.034569 0.082201 0.409591 0.616404 0.131164 0.825479 -0.053057 -0.023890 0.554780 0.343873 0.676685 0.256012 -0.263435 1.000000 -0.041794 0.326019 -0.075776 0.362208 -0.029485 0.030250 0.087597 -0.003555 0.027129 -0.001973 -0.006870 -0.006709 0.059327 0.083745 -0.041187 0.070709 0.533682
Functional_Rate 0.000983 0.021190 -0.080108 0.017487 -0.038104 -0.016744 -0.021995 0.023183 0.006824 -0.013685 -0.110996 0.011559 -0.006393 0.008273 0.038800 0.080835 0.171165 0.059504 0.170926 0.092708 -0.001958 0.023956 0.023527 -0.003873 -0.077173 0.036762 0.061337 -0.041775 0.081973 -0.046943 0.004034 0.033601 0.144845 -0.090651 0.059548 0.061579 -0.061229 -0.076528 0.082105 0.053901 -0.091185 0.017281 -0.025362 -0.055081 0.029639 -0.029004 0.031433 0.066383 -0.037690 -0.049025 -0.089471 -0.041794 1.000000 -0.023369 -0.067441 0.077997 0.025862 0.042504 0.031862 0.060019 -0.016484 -0.038307 -0.041569 0.018150 -0.037950 0.017905 0.009521 0.021618 0.110367
Fireplaces -0.018668 -0.046165 -0.011382 0.235860 0.271411 -0.005308 -0.193893 -0.052052 0.015709 -0.060676 0.123888 0.056925 0.005856 -0.013800 -0.090243 0.101857 0.396455 -0.023580 0.147629 0.112024 0.122988 0.015990 0.006558 0.016915 -0.222844 0.044510 0.057270 -0.169232 0.042505 -0.099167 -0.095881 0.260708 0.013861 0.047957 0.050971 0.339944 -0.052296 -0.122613 0.186543 0.122646 0.410824 0.194145 -0.021357 0.461539 0.138751 0.028828 0.243165 0.204618 0.107711 -0.124114 -0.227636 0.326019 -0.023369 1.000000 -0.190442 0.300321 0.009077 0.102702 0.209545 0.140969 0.040423 0.042878 0.049169 0.011185 0.184416 0.095058 0.014494 0.105788 0.466828
Garage 0.002729 0.075637 0.105468 -0.198633 -0.105393 0.011204 0.152827 -0.064621 -0.002164 0.006033 -0.004998 -0.039081 -0.032101 0.051261 -0.015451 -0.075515 -0.254803 0.160040 -0.399842 -0.248359 -0.051017 -0.019335 -0.004054 0.003726 0.203734 -0.066301 -0.256853 0.176742 -0.073080 0.178645 0.131826 -0.214234 -0.020325 -0.027337 -0.066429 -0.299623 0.094649 0.148811 -0.150975 -0.133549 -0.292160 0.088948 0.060767 -0.135447 -0.154234 -0.015183 -0.235529 -0.065116 -0.019298 0.071556 0.168036 -0.075776 -0.067441 -0.190442 1.000000 -0.044497 0.006711 -0.103603 0.147385 -0.120394 -0.041139 -0.006739 0.004888 -0.048244 -0.017007 -0.024268 0.026427 -0.050963 -0.262579
Garage_Size 0.017813 -0.040749 -0.157131 0.269983 0.154886 -0.019987 -0.183479 0.046009 0.008146 -0.066574 -0.002843 0.193569 0.104252 0.024043 0.007116 0.196469 0.600458 -0.185565 0.537906 0.420230 0.132061 0.038456 0.123891 0.123198 -0.450784 0.180062 0.357056 -0.449187 0.072503 -0.219954 -0.016828 0.224786 0.066231 -0.037244 0.213635 0.435091 -0.070525 -0.302545 0.234002 0.243429 0.439655 0.183472 -0.094599 0.467108 0.132765 -0.021069 0.469289 0.220235 0.086254 -0.050802 -0.364775 0.362208 0.077997 0.300321 -0.044497 1.000000 0.012663 0.298847 0.549849 0.284913 0.007383 -0.014266 0.021062 0.035696 0.050323 0.020893 -0.068101 0.185159 0.640383
Garage_Area -0.039315 -0.023978 -0.009204 -0.021743 0.006612 0.034675 0.001240 0.027096 0.040737 0.013898 0.007333 -0.004279 -0.000368 0.027914 -0.013389 0.048414 0.019565 -0.009513 0.023564 0.010031 0.028571 0.024951 0.015489 -0.009934 -0.002579 0.066339 -0.020650 -0.014547 -0.026175 -0.019860 0.001148 0.027690 -0.013008 -0.001729 -0.003595 0.024526 -0.024455 0.013354 -0.004545 -0.004657 -0.001510 -0.037737 -0.053238 -0.037382 0.020596 0.047929 -0.033457 -0.007826 -0.032290 -0.028912 -0.007795 -0.029485 0.025862 0.009077 0.006711 0.012663 1.000000 -0.026573 -0.010591 0.032060 -0.013825 0.029184 -0.003959 0.010573 0.017098 0.009409 0.004888 0.010915 0.010982
Garage_Quality 0.001530 -0.023833 -0.165210 0.083945 0.043782 -0.001749 -0.115591 0.032987 0.007691 0.009429 0.010773 0.011543 0.096458 -0.016057 0.053277 0.079972 0.182137 -0.086550 0.373273 0.165640 0.055162 -0.037851 0.011682 -0.020796 -0.112535 0.050234 0.258530 -0.088065 0.054835 -0.092781 -0.137768 0.156204 -0.040658 0.056898 -0.041393 0.141595 -0.104950 -0.057835 0.237840 0.148612 0.137279 -0.028371 -0.089779 0.069128 0.099055 0.043281 0.132407 0.068671 0.015019 -0.126869 -0.030466 0.030250 0.042504 0.102702 -0.103603 0.298847 -0.026573 1.000000 0.514304 0.278990 -0.016001 0.004687 0.016498 -0.003200 -0.016350 -0.020077 -0.039258 0.090053 0.180617
Garage_Condition 0.002761 -0.074495 -0.094693 0.107740 0.079913 0.021894 -0.099408 0.062310 0.008073 -0.014990 -0.017353 0.081655 0.080328 0.043271 0.003893 0.075775 0.305555 -0.007391 0.328086 0.176257 0.047688 0.007583 0.035015 0.026269 -0.135079 0.120188 0.163029 -0.096567 0.140695 -0.060614 -0.106975 0.144239 0.013832 0.036195 0.031864 0.195316 -0.106746 -0.101423 0.321578 0.168645 0.187855 0.047277 -0.137438 0.164761 0.069880 0.032414 0.157787 0.129681 -0.004701 -0.161905 -0.074161 0.087597 0.031862 0.209545 0.147385 0.549849 -0.010591 0.514304 1.000000 0.384941 0.012173 0.000791 0.011762 0.026315 0.080688 -0.003330 -0.036601 0.121774 0.277943
Pavedd_Drive 0.005633 -0.059769 -0.100360 0.088988 0.015146 0.024509 -0.113872 0.140867 0.007591 -0.045185 -0.024494 0.040530 0.105874 -0.006782 0.059477 0.115703 0.229607 -0.062317 0.427620 0.168707 -0.004601 0.020573 -0.055836 -0.041747 -0.106584 0.143367 0.165728 -0.100368 0.156727 -0.080253 -0.214824 0.189429 0.001553 0.063692 -0.009963 0.210276 -0.142044 -0.099195 0.337482 0.212765 0.163372 -0.040736 -0.065483 0.080302 0.115060 0.040991 0.129689 0.107963 -0.032261 -0.170468 -0.051141 -0.003555 0.060019 0.140969 -0.120394 0.284913 0.032060 0.278990 0.384941 1.000000 -0.040540 -0.005031 -0.036038 0.020551 0.050673 0.019917 -0.039429 0.071194 0.231461
W_Deck_Area 0.012877 -0.000809 -0.001683 0.037003 0.029946 -0.013731 -0.043840 -0.028181 -0.003102 -0.030952 -0.002502 0.010212 -0.007160 0.032808 -0.000579 -0.041032 0.034532 0.045504 0.007470 0.045551 -0.002139 0.044829 -0.005249 -0.010555 -0.050723 0.017961 -0.012972 -0.016099 -0.021938 -0.008627 -0.024742 0.036481 -0.035265 0.006011 -0.009943 0.030117 0.037560 -0.018747 -0.028517 0.044325 0.046328 0.005745 0.004113 0.039238 0.021408 0.007629 0.023183 0.022990 0.009415 -0.021682 -0.054047 0.027129 -0.016484 0.040423 -0.041139 0.007383 -0.013825 -0.016001 0.012173 -0.040540 1.000000 -0.029393 -0.054892 -0.020936 -0.027653 -0.004061 -0.028408 0.038770 0.042836
Open_Lobby_Area 0.047762 -0.024245 0.008140 0.032255 0.032514 0.019031 0.003954 -0.002822 0.030214 0.001354 0.006396 -0.041830 0.011411 -0.062374 -0.035150 0.004956 -0.036698 0.004683 -0.045253 -0.061183 0.047825 0.000696 -0.019169 -0.023220 0.014734 0.001040 -0.035777 0.031027 -0.026301 0.001510 -0.001410 0.038598 0.007759 -0.024451 -0.035976 -0.005089 0.021272 0.052641 0.013910 0.012986 0.030649 -0.037264 -0.031527 -0.011321 -0.003216 0.011584 -0.006932 -0.024646 0.001941 0.023616 0.032120 -0.001973 -0.038307 0.042878 -0.006739 -0.014266 0.029184 0.004687 0.000791 -0.005031 -0.029393 1.000000 0.006195 -0.015540 0.066397 0.008142 0.003410 0.000203 -0.010044
Enclosed_Lobby_Area -0.025129 0.030517 -0.004564 -0.009779 0.003951 -0.002899 0.002964 -0.048729 -0.016936 0.051272 0.028743 -0.047470 0.016919 -0.015367 0.039940 -0.012113 0.018267 -0.041782 -0.006792 -0.010530 -0.016533 -0.007632 0.009550 0.021737 -0.007607 0.004074 -0.021052 -0.005989 -0.054290 -0.042413 0.034104 0.007651 0.016550 -0.016607 0.007787 0.009693 0.004378 0.009360 -0.019525 0.005056 0.025592 -0.004977 -0.007576 0.013993 0.025920 -0.031744 0.002087 -0.008558 -0.005317 0.003351 -0.035337 -0.006870 -0.041569 0.049169 0.004888 0.021062 -0.003959 0.016498 0.011762 -0.036038 -0.054892 0.006195 1.000000 0.032761 0.051289 0.013050 -0.034658 -0.002834 0.020972
Three_Season_Lobby_Area -0.046545 -0.043906 0.000359 0.062337 0.020418 0.007479 -0.036407 -0.021379 -0.003048 -0.030435 0.008676 -0.024273 0.070608 -0.003695 -0.022879 -0.026980 0.030314 0.025535 0.031339 0.045224 0.022408 -0.029965 -0.037193 -0.017672 -0.035231 0.010838 0.046125 -0.017993 0.030243 0.013558 -0.044693 0.026525 0.005692 -0.029897 0.020693 0.037423 -0.014325 -0.054330 0.030714 0.006461 0.056125 -0.024426 -0.004305 0.020606 -0.000018 0.035095 0.035284 -0.004877 -0.024465 -0.024618 -0.010588 -0.006709 0.018150 0.011185 -0.048244 0.035696 0.010573 -0.003200 0.026315 0.020551 -0.020936 -0.015540 0.032761 1.000000 -0.031458 -0.007997 -0.009010 0.004396 0.044553
Screen_Lobby_Area 0.001653 -0.026199 0.019081 0.037727 0.043151 -0.033149 -0.052927 0.003894 0.102363 -0.004546 0.052936 0.013539 0.011036 -0.008583 -0.028124 -0.025427 0.064755 0.054885 -0.050405 -0.038932 0.066583 0.089105 -0.047184 -0.020400 -0.014867 -0.016719 -0.068690 0.012532 0.025631 -0.001061 -0.027742 0.062194 -0.011479 0.089223 -0.012765 0.084581 0.000176 0.055858 0.051258 0.005707 0.088807 0.040469 0.026778 0.101430 0.023363 0.032078 -0.008299 0.072693 0.044332 -0.051655 -0.026471 0.059327 -0.037950 0.184416 -0.017007 0.050323 0.017098 -0.016350 0.080688 0.050673 -0.027653 0.066397 0.051289 -0.031458 1.000000 0.051296 0.004591 -0.020057 0.111378
Pool_Area 0.057184 0.008244 -0.003130 0.180881 0.077670 0.004416 -0.020019 -0.013084 -0.001800 -0.046775 -0.015516 -0.010482 0.008741 -0.002182 -0.028301 0.076612 0.065143 -0.001967 0.004940 0.005786 0.019907 -0.076880 -0.001420 -0.017612 -0.034237 -0.033245 -0.002280 -0.024375 0.021607 -0.053856 -0.035345 0.140566 -0.031863 0.041813 -0.035150 0.126084 -0.008458 0.027546 0.018135 0.020830 0.131539 0.081467 0.062152 0.170197 0.067696 0.020014 0.049573 0.022451 0.070711 -0.014535 -0.058797 0.083745 0.017905 0.095058 -0.024268 0.020893 0.009409 -0.020077 -0.003330 0.019917 -0.004061 0.008142 0.013050 -0.007997 0.051296 1.000000 0.011024 -0.067243 0.092389
Sale_Type 0.019422 0.012656 0.097450 -0.030924 0.012305 0.014326 -0.001073 -0.025823 -0.126768 0.014197 0.054910 -0.036779 -0.002330 0.004855 -0.040221 0.048705 -0.060316 0.095193 -0.052383 0.019861 -0.032843 0.009670 0.012006 0.020299 0.087201 0.008710 0.018037 0.059159 0.027227 -0.004197 -0.052109 0.005351 -0.020292 -0.030322 -0.088893 -0.095091 0.011713 -0.016617 -0.004109 0.008987 -0.118494 0.053529 0.014471 -0.041378 0.029065 0.001729 -0.035252 0.031564 0.034090 -0.009745 0.038428 -0.041187 0.009521 0.014494 0.026427 -0.068101 0.004888 -0.039258 -0.036601 -0.039429 -0.028408 0.003410 -0.034658 -0.009010 0.004591 0.011024 1.000000 0.184031 -0.054826
Sale_Condition -0.006059 -0.024822 0.009500 0.058453 0.034178 0.006055 -0.038234 0.033766 -0.089698 0.051500 -0.043064 0.021998 0.057753 0.045079 -0.003472 0.022834 0.193861 0.017705 0.201080 0.221898 0.066022 -0.038554 0.062742 0.068935 -0.188502 0.054183 0.135721 -0.175156 0.025556 -0.070153 0.011046 0.032742 0.040328 -0.059355 0.097893 0.110798 0.006686 -0.169931 0.071131 0.101993 0.075861 0.037974 -0.070745 0.080808 0.011233 -0.059232 0.144064 0.071997 -0.017382 -0.066085 -0.134536 0.070709 0.021618 0.105788 -0.050963 0.185159 0.010915 0.090053 0.121774 0.071194 0.038770 0.000203 -0.002834 0.004396 -0.020057 -0.067243 0.184031 1.000000 0.213168
Sale_Price -0.021441 -0.084563 -0.166896 0.334988 0.263843 0.041057 -0.255428 0.015545 -0.014323 -0.067234 0.051091 0.210667 0.091150 0.007504 -0.085720 0.180035 0.790972 -0.077754 0.522877 0.507015 0.222295 0.134611 0.103276 0.103471 -0.637279 0.117420 0.345630 -0.552886 0.087988 -0.275528 -0.067518 0.386783 0.097850 -0.010952 0.214281 0.613792 -0.098854 -0.400135 0.251426 0.235138 0.605971 0.319193 -0.025642 0.708584 0.227551 -0.016915 0.560604 0.284626 0.168272 -0.135979 -0.589123 0.533682 0.110367 0.466828 -0.262579 0.640383 0.010982 0.180617 0.277943 0.231461 0.042836 -0.010044 0.020972 0.044553 0.111378 0.092389 -0.054826 0.213168 1.000000
In [62]:
plt.figure(figsize=(70,65))
heatmap=sns.heatmap(tr2,linewidth=1,annot=True,cmap=plt.cm.Blues)
plt.title("Heatmap using Seaborn Method")
plt.show()

DETECT OUTLIERS AND TREAT THEM OF TRAIN FILE¶

In [63]:
train.boxplot(figsize=(30,25))
Out[63]:
<AxesSubplot:>
In [81]:
prout=train.copy()
In [82]:
#train._get_numeric_data().columns
In [83]:
#train.Sale_Price.value_counts()
In [84]:
#train.boxplot(column="Id")
#train.boxplot(column="Lot_Size")
#train.boxplot(column="Lot_Size")
#train.boxplot(column="BsmtFinSF1")
#train.boxplot(column="Lot_Extent")
#train.boxplot(column="BsmtFinSF2")
#train.boxplot(column="BsmtUnfSF")
#train.boxplot(column="Total_Basement_Area")
#train.boxplot(column="First_Floor_Area")
#train.boxplot(column="Second_Floor_Area")
#train.boxplot(column="LowQualFinSF")
#train.boxplot(column="Grade_Living_Area")
#train.boxplot(column="Garage_Area")
#train.boxplot(column="W_Deck_Area")
#train.boxplot(column="Open_Lobby_Area")
#train.boxplot(column="Enclosed_Lobby_Area")
#train.boxplot(column="Three_Season_Lobby_Area")
#train.boxplot(column="Screen_Lobby_Area")
train.boxplot(column="Sale_Price")
Out[84]:
<AxesSubplot:>
In [85]:
#train.hist(["Id"],bins=20)
#train.hist(["BsmtFinSF1"])
#train.hist(["Lot_Extent"])
#train.hist(["BsmtFinSF2"])
#train.hist(["BsmtFinSF1"])
#train.hist(["Total_Basement_Area"])
#train.hist(["First_Floor_Area"])
#train.hist(["Second_Floor_Area"])
#train.hist(["LowQualFinSF"])
#train.hist(["Grade_Living_Area"])
#train.hist(["Garage_Area"])
#train.hist(["W_Deck_Area"])
#train.hist(["Open_Lobby_Area"],bins=50)
#train.hist(["Enclosed_Lobby_Area"],bins=50)
#train.hist(["Three_Season_Lobby_Area"],bins=50)
#train.hist(["Screen_Lobby_Area"],bins=50)
train.hist(["Sale_Price"],bins=50)
Out[85]:
array([[<AxesSubplot:title={'center':'Sale_Price'}>]], dtype=object)
In [86]:
#sns.distplot(train["Id"])
#sns.distplot(train["Lot_Size"])
#sns.distplot(train["BsmtFinSF1"])
#sns.distplot(train["Lot_Extent"])
#sns.distplot(train["BsmtFinSF2"])
#sns.distplot(train["BsmtUnfSF"])
#sns.distplot(train["Total_Basement_Area"])
#sns.distplot(train["First_Floor_Area"])
#sns.distplot(train["Second_Floor_Area"])
#sns.distplot(train["LowQualFinSF"])
#sns.distplot(train["Grade_Living_Area"])
#sns.distplot(train["Garage_Area"])
#sns.distplot(train["W_Deck_Area"])
#sns.distplot(train["Open_Lobby_Area"])
#sns.distplot(train["Enclosed_Lobby_Area"])
#sns.distplot(train["Three_Season_Lobby_Area"])
#sns.distplot(train["Screen_Lobby_Area"])
sns.distplot(train["Sale_Price"])
Out[86]:
<AxesSubplot:xlabel='Sale_Price', ylabel='Density'>
In [87]:
IQR=train["Lot_Size"].quantile(0.75)-train["Lot_Size"].quantile(0.25)
IQR
Out[87]:
4054.0
In [88]:
up=train["Lot_Size"].quantile(0.75)+(3*IQR)
lw=train["Lot_Size"].quantile(0.25)-(3*IQR)
print(up,lw)

23765.0 -4613.0
In [89]:
train.Lot_Size.describe()
Out[89]:
count      1459.000000
mean      10517.225497
std        9984.675721
min        1300.000000
25%        7549.000000
50%        9477.000000
75%       11603.000000
max      215245.000000
Name: Lot_Size, dtype: float64
In [90]:
prout.loc[prout["Lot_Size"]>23765.0,"Lot_Size"]=23765.0
In [91]:
IQR2=train["BsmtFinSF1"].quantile(0.75)-train["BsmtFinSF1"].quantile(0.25)
IQR2
Out[91]:
712.0
In [92]:
up2=train["BsmtFinSF1"].quantile(0.75)+(3*IQR2)
lw2=train["BsmtFinSF1"].quantile(0.25)-(3*IQR2)
print(up2,lw2)

2848.0 -2136.0
In [93]:
train.BsmtFinSF1.describe()
Out[93]:
count    1459.000000
mean      443.374914
std       456.142186
min         0.000000
25%         0.000000
50%       383.000000
75%       712.000000
max      5644.000000
Name: BsmtFinSF1, dtype: float64
In [94]:
prout.loc[prout["BsmtFinSF1"]>2848.0,"BsmtFinSF1"]=2848.0
In [95]:
up3=train["Lot_Extent"].mean()+3*train["Lot_Extent"].std()
lw3=train["Lot_Extent"].mean()-3*train["Lot_Extent"].std()
print(up3,lw3)

136.13129541772906 3.944098687822688
In [96]:
train.Lot_Extent.describe()
Out[96]:
count    1459.000000
mean       70.037697
std        22.031199
min        21.000000
25%        60.000000
50%        70.000000
75%        79.000000
max       313.000000
Name: Lot_Extent, dtype: float64
In [97]:
prout.loc[prout["Lot_Extent"]>136.13129541772906,"Lot_Extent"]=136.13129541772906
In [98]:
up4=train["BsmtFinSF2"].mean()+3*train["BsmtFinSF2"].std()
lw4=train["BsmtFinSF2"].mean()-3*train["BsmtFinSF2"].std()
print(up4,lw4)

530.1279522682031 -437.36304479733263
In [99]:
train.BsmtFinSF2.describe()
Out[99]:
count    1459.000000
mean       46.382454
std       161.248500
min         0.000000
25%         0.000000
50%         0.000000
75%         0.000000
max      1474.000000
Name: BsmtFinSF2, dtype: float64
In [100]:
prout.loc[prout["BsmtFinSF2"]>530.0,"BsmtFinSF2"]=530.0
In [101]:
IQR4=train["BsmtUnfSF"].quantile(0.75)-train["BsmtUnfSF"].quantile(0.25)
IQR4
Out[101]:
584.5
In [102]:
up4=train["BsmtUnfSF"].quantile(0.75)+(3*IQR4)
lw4=train["BsmtUnfSF"].quantile(0.25)-(3*IQR4)
print(up4,lw4)

2561.5 -1530.0
In [103]:
train.BsmtUnfSF.describe()
Out[103]:
count    1459.000000
mean      567.535984
std       441.874057
min         0.000000
25%       223.500000
50%       479.000000
75%       808.000000
max      2336.000000
Name: BsmtUnfSF, dtype: float64
In [104]:
prout.loc[prout["BsmtUnfSF"]>2561.5,"BsmtUnfSF"]=2561.5
In [105]:
IQR5=train["Total_Basement_Area"].quantile(0.75)-train["Total_Basement_Area"].quantile(0.25)
IQR5
Out[105]:
503.0
In [106]:
up5=train["Total_Basement_Area"].quantile(0.75)+(3*IQR5)
lw5=train["Total_Basement_Area"].quantile(0.25)-(3*IQR5)
print(up5,lw5)

2807.5 -713.5
In [107]:
train.Total_Basement_Area.describe()
Out[107]:
count    1459.000000
mean     1057.293352
std       438.824912
min         0.000000
25%       795.500000
50%       991.000000
75%      1298.500000
max      6110.000000
Name: Total_Basement_Area, dtype: float64
In [108]:
prout.loc[prout["Total_Basement_Area"]>2807.5,"Total_Basement_Area"]=2807.5
In [109]:
up6=train["First_Floor_Area"].mean()+3*train["First_Floor_Area"].std()
lw6=train["First_Floor_Area"].mean()-3*train["First_Floor_Area"].std()
print(up6,lw6)

2322.700373675161 2.4250547004389773
In [110]:
train.First_Floor_Area.describe()
Out[110]:
count    1459.000000
mean     1162.562714
std       386.712553
min       334.000000
25%       882.000000
50%      1086.000000
75%      1391.500000
max      4692.000000
Name: First_Floor_Area, dtype: float64
In [111]:
prout.loc[prout["First_Floor_Area"]>2322.700373675161,"First_Floor_Area"]=2322.700373675161
In [112]:
IQR7=train["Second_Floor_Area"].quantile(0.75)-train["Second_Floor_Area"].quantile(0.25)
IQR7
Out[112]:
728.0
In [113]:
up7=train["Second_Floor_Area"].quantile(0.75)+(1.5*IQR7)
lw7=train["Second_Floor_Area"].quantile(0.25)-(1.5*IQR7)
print(up7,lw7)

1820.0 -1092.0
In [114]:
train.Second_Floor_Area.describe()
Out[114]:
count    1459.000000
mean      347.230295
std       436.583480
min         0.000000
25%         0.000000
50%         0.000000
75%       728.000000
max      2065.000000
Name: Second_Floor_Area, dtype: float64
In [115]:
prout.loc[prout["First_Floor_Area"]>1820.0,"First_Floor_Area"]=1820.0
In [116]:
up8=train["LowQualFinSF"].mean()+3*train["LowQualFinSF"].std()
lw8=train["LowQualFinSF"].mean()-3*train["LowQualFinSF"].std()
print(up8,lw8)

151.76706285948669 -140.0700100836128
In [117]:
train.LowQualFinSF.describe()
Out[117]:
count    1459.000000
mean        5.848526
std        48.639512
min         0.000000
25%         0.000000
50%         0.000000
75%         0.000000
max       572.000000
Name: LowQualFinSF, dtype: float64
In [118]:
prout.loc[prout["LowQualFinSF"]>151.76706285948669,"LowQualFinSF"]=151.76706285948669
In [119]:
up9=train["Grade_Living_Area"].mean()+3*train["Grade_Living_Area"].std()
lw9=train["Grade_Living_Area"].mean()-3*train["Grade_Living_Area"].std()
print(up9,lw9)

3092.4913553761457 -61.20828477984696
In [120]:
train.Grade_Living_Area.describe()
Out[120]:
count    1459.000000
mean     1515.641535
std       525.616607
min       334.000000
25%      1129.000000
50%      1464.000000
75%      1777.500000
max      5642.000000
Name: Grade_Living_Area, dtype: float64
In [121]:
prout.loc[prout["Grade_Living_Area"]>3092.4913553761457,"Grade_Living_Area"]=3092.4913553761457
In [122]:
up10=train["Garage_Area"].mean()+3*train["Garage_Area"].std()
lw10=train["Garage_Area"].mean()-3*train["Garage_Area"].std()
print(up10,lw10)

1102.3878924028938 -161.47219672091995
In [123]:
train.Garage_Area.describe()
Out[123]:
count    1459.000000
mean      470.457848
std       210.643348
min      -129.000000
25%       329.000000
50%       471.000000
75%       607.000000
max      1147.000000
Name: Garage_Area, dtype: float64
In [124]:
train.loc[train["Garage_Area"]>1102.9411493792454 ,"Garage_Area"]=1102.9411493792454
In [125]:
up11=train["W_Deck_Area"].mean()+3*train["W_Deck_Area"].std()
lw11=train["W_Deck_Area"].mean()-3*train["W_Deck_Area"].std()
print(up11,lw11)

466.2214327731933 -280.73822509670265
In [126]:
train.W_Deck_Area.describe()
Out[126]:
count    1459.000000
mean       92.741604
std       124.493276
min      -338.000000
25%         9.000000
50%        92.000000
75%       180.000000
max       572.000000
Name: W_Deck_Area, dtype: float64
In [127]:
prout.loc[prout["W_Deck_Area"]>465.3790159660496 ,"W_Deck_Area"]=465.3790159660496
In [128]:
IQR12=train["Open_Lobby_Area"].quantile(0.75)-train["Open_Lobby_Area"].quantile(0.25)
IQR12
Out[128]:
94.5
In [129]:
up12=train["Open_Lobby_Area"].quantile(0.75)+(3*IQR12)
lw12=train["Open_Lobby_Area"].quantile(0.25)-(3*IQR12)
print(up12,lw12)

379.5 -282.0
In [130]:
train.Open_Lobby_Area.describe()
Out[130]:
count    1459.000000
mean       47.549006
std        67.157449
min      -187.000000
25%         1.500000
50%        46.000000
75%        96.000000
max       255.000000
Name: Open_Lobby_Area, dtype: float64
In [131]:
prout.loc[prout["Open_Lobby_Area"]>379.5 ,"Open_Lobby_Area"]=379.5
In [132]:
up13=train["Enclosed_Lobby_Area"].mean()+3*train["Enclosed_Lobby_Area"].std()
lw13=train["Enclosed_Lobby_Area"].mean()-3*train["Enclosed_Lobby_Area"].std()
print(up13,lw13)

207.34045193428852 -158.50700436746195
In [133]:
train.Enclosed_Lobby_Area.describe()
Out[133]:
count    1459.000000
mean       24.416724
std        60.974576
min      -164.000000
25%       -16.000000
50%        25.000000
75%        66.000000
max       225.000000
Name: Enclosed_Lobby_Area, dtype: float64
In [134]:
train.loc[train["Enclosed_Lobby_Area"]>207.34045193428852 ,"Enclosed_Lobby_Area"]=207.34045193428852
In [135]:
up14=train["Three_Season_Lobby_Area"].mean()+3*train["Three_Season_Lobby_Area"].std()
lw14=train["Three_Season_Lobby_Area"].mean()-3*train["Three_Season_Lobby_Area"].std()
print(up14,lw14)

91.39366624305208 -84.56981428965935
In [136]:
train.Three_Season_Lobby_Area.describe()
Out[136]:
count    1459.000000
mean        3.411926
std        29.327247
min         0.000000
25%         0.000000
50%         0.000000
75%         0.000000
max       508.000000
Name: Three_Season_Lobby_Area, dtype: float64
In [137]:
prout.loc[prout["Three_Season_Lobby_Area"]>91.39366624305208,"Three_Season_Lobby_Area"]=91.39366624305208
In [138]:
up15=train["Screen_Lobby_Area"].mean()+3*train["Screen_Lobby_Area"].std()
lw15=train["Screen_Lobby_Area"].mean()-3*train["Screen_Lobby_Area"].std()
print(up15,lw15)

182.39669442924676 -152.254131029658
In [139]:
train.Screen_Lobby_Area.describe()
Out[139]:
count    1459.000000
mean       15.071282
std        55.775138
min         0.000000
25%         0.000000
50%         0.000000
75%         0.000000
max       480.000000
Name: Screen_Lobby_Area, dtype: float64
In [140]:
prout.loc[prout["Screen_Lobby_Area"]>182.39669442924676 ,"Screen_Lobby_Area"]=182.39669442924676
In [141]:
IQR16=train["Sale_Price"].quantile(0.75)-train["Sale_Price"].quantile(0.25)
IQR16
Out[141]:
84050.0
In [142]:
up16=train["Sale_Price"].quantile(0.75)+(3*IQR16)
lw16=train["Sale_Price"].quantile(0.25)-(3*IQR16)
print(up16,lw16)

466150.0 -122200.0
In [143]:
train.Sale_Price.describe()
Out[143]:
count      1459.000000
mean     180944.102810
std       79464.918335
min       34900.000000
25%      129950.000000
50%      163000.000000
75%      214000.000000
max      755000.000000
Name: Sale_Price, dtype: float64
In [144]:
prout.loc[prout["Sale_Price"]>466150.0 ,"Sale_Price"]=466150.0
In [129]:
#Q1=train.quantile(0.25)
#Q3=train.quantile(0.75)
#IQR=Q3-Q1
#print(IQR)
In [130]:
#pd.set_option("display.max_columns",None)
#train=train[((train<(Q1-1.5*IQR)) |(train>(Q3+1.5*IQR))).any(axis=1)]
#train

DETECT OUTLIERS AND TREAT THEM OF TEST FILE¶

In [145]:
#test._get_numeric_data().columns
In [146]:
#test.Lot_Size.value_counts()
In [147]:
#test.boxplot(column="Lot_Size")
#test.boxplot(column="BsmtFinSF1")
#test.boxplot(column="Lot_Extent")
#test.boxplot(column="BsmtFinSF2")
#test.boxplot(column="BsmtUnfSF")
#test.boxplot(column="Total_Basement_Area")
#test.boxplot(column="First_Floor_Area")
#test.boxplot(column="Second_Floor_Area")
#test.boxplot(column="LowQualFinSF")
#test.boxplot(column="Grade_Living_Area")
#test.boxplot(column="Garage_Area")
#test.boxplot(column="W_Deck_Area")
#test.boxplot(column="Open_Lobby_Area")
#test.boxplot(column="Enclosed_Lobby_Area")
#test.boxplot(column="Three_Season_Lobby_Area")
test.boxplot(column="Screen_Lobby_Area")
Out[147]:
<AxesSubplot:>
In [148]:
#test.hist(["Lot_Size"],bins=20)
#test.hist(["BsmtFinSF1"])
#test.hist(["Lot_Extent"])
#test.hist(["BsmtFinSF2"])
#test.hist(["BsmtUnfSF"])
#test.hist(["Total_Basement_Area"])
#test.hist(["First_Floor_Area"])
#test.hist(["Second_Floor_Area"])
#test.hist(["LowQualFinSF"])
#test.hist(["Grade_Living_Area"])
#test.hist(["Garage_Area"])
#test.hist(["W_Deck_Area"])
#test.hist(["Open_Lobby_Area"],bins=50)
#test.hist(["Enclosed_Lobby_Area"],bins=50)
#test.hist(["Three_Season_Lobby_Area"],bins=50)
test.hist(["Screen_Lobby_Area"],bins=50)
Out[148]:
array([[<AxesSubplot:title={'center':'Screen_Lobby_Area'}>]], dtype=object)
In [149]:
#sns.distplot(test["Lot_Size"])
#sns.distplot(test["BsmtFinSF1"])
#sns.distplot(test["Lot_Extent"])
#sns.distplot(test["BsmtFinSF2"])
#sns.distplot(test["BsmtUnfSF"])
#sns.distplot(test["Total_Basement_Area"])
#sns.distplot(test["First_Floor_Area"])
#sns.distplot(test["Second_Floor_Area"])
#sns.distplot(test["LowQualFinSF"])
#sns.distplot(test["Grade_Living_Area"])
#sns.distplot(test["Garage_Area"])
#sns.distplot(test["W_Deck_Area"])
#sns.distplot(test["Open_Lobby_Area"])
#sns.distplot(test["Enclosed_Lobby_Area"])
#sns.distplot(test["Three_Season_Lobby_Area"])
sns.distplot(test["Screen_Lobby_Area"])
Out[149]:
<AxesSubplot:xlabel='Screen_Lobby_Area', ylabel='Density'>
In [150]:
d2=test.copy()
In [151]:
up_1=test["Lot_Size"].mean()+3*test["Lot_Size"].std()
lw_1=test["Lot_Size"].mean()-3*test["Lot_Size"].std()
print(up_1,lw_1)

24752.146541055423 -5009.022483481744
In [152]:
test.Lot_Size.describe()
Out[152]:
count     1459.000000
mean      9871.562029
std       4960.194837
min      -4265.000000
25%       6351.500000
50%       9784.000000
75%      13208.000000
max      26126.000000
Name: Lot_Size, dtype: float64
In [153]:
d2.loc[d2["Lot_Size"]>24752.74867073253,"Lot_Size"]=24752.74867073253
In [154]:
IQR_2=test["BsmtFinSF1"].quantile(0.75)-test["BsmtFinSF1"].quantile(0.25)
IQR_2
Out[154]:
752.0
In [155]:
up_2=test["BsmtFinSF1"].quantile(0.75)+(3*IQR_2)
lw_2=test["BsmtFinSF1"].quantile(0.25)-(3*IQR_2)
print(up_2,lw_2)

3008.0 -2256.0
In [156]:
test.BsmtFinSF1.describe()
Out[156]:
count    1459.000000
mean      439.203564
std       455.111888
min         0.000000
25%         0.000000
50%       351.000000
75%       752.000000
max      4010.000000
Name: BsmtFinSF1, dtype: float64
In [157]:
d2.loc[d2["BsmtFinSF1"]>3008.0,"BsmtFinSF1"]=3008.0
In [158]:
IQR_3=test["Lot_Extent"].quantile(0.75)-test["Lot_Extent"].quantile(0.25)
IQR_3
Out[158]:
18.0
In [159]:
up_3=test["Lot_Extent"].quantile(0.75)+(3*IQR_3)
lw_3=test["Lot_Extent"].quantile(0.25)-(3*IQR_3)
print(up_3,lw_3)

132.0 6.0
In [160]:
test.Lot_Extent.describe()
Out[160]:
count    1459.000000
mean       68.490062
std        20.562305
min        21.000000
25%        60.000000
50%        68.000000
75%        78.000000
max       200.000000
Name: Lot_Extent, dtype: float64
In [161]:
d2.loc[d2["Lot_Extent"]>132.0,"BsmtFinSF1"]=132.0
In [162]:
up_4=train["BsmtFinSF2"].mean()+3*train["BsmtFinSF2"].std()
lw_4=train["BsmtFinSF2"].mean()-3*train["BsmtFinSF2"].std()
print(up_4,lw_4)

530.1279522682031 -437.36304479733263
In [163]:
test.BsmtFinSF2.describe()
Out[163]:
count    1459.000000
mean       52.618917
std       176.693301
min         0.000000
25%         0.000000
50%         0.000000
75%         0.000000
max      1526.000000
Name: BsmtFinSF2, dtype: float64
In [164]:
d2.loc[d2["BsmtFinSF2"]>430.0,"BsmtFinSF2"]=430.0
In [165]:
IQR_5=test["BsmtUnfSF"].quantile(0.75)-test["BsmtUnfSF"].quantile(0.25)
IQR_5
Out[165]:
578.0
In [166]:
up_5=train["BsmtUnfSF"].quantile(0.75)+(2*IQR_5)
lw_5=train["BsmtUnfSF"].quantile(0.25)-(2*IQR_5)
print(up_5,lw_5)

1964.0 -932.5
In [167]:
test.BsmtUnfSF.describe()
Out[167]:
count    1459.000000
mean      554.294722
std       437.110508
min         0.000000
25%       219.500000
50%       460.000000
75%       797.500000
max      2140.000000
Name: BsmtUnfSF, dtype: float64
In [168]:
d2.loc[d2["BsmtUnfSF"]>1958.0,"BsmtUnfSF"]=1958.0
In [169]:
IQR_6=test["Total_Basement_Area"].quantile(0.75)-test["Total_Basement_Area"].quantile(0.25)
IQR_6
Out[169]:
520.0
In [170]:
up_6=train["Total_Basement_Area"].quantile(0.75)+(3*IQR_6)
lw_6=train["Total_Basement_Area"].quantile(0.25)-(3*IQR_6)
print(up_6,lw_6)

2858.5 -764.5
In [171]:
test.Total_Basement_Area.describe()
Out[171]:
count    1459.000000
mean     1046.117889
std       442.746712
min         0.000000
25%       784.000000
50%       988.000000
75%      1304.000000
max      5095.000000
Name: Total_Basement_Area, dtype: float64
In [172]:
d2.loc[d2["Total_Basement_Area"]>2878.5,"Total_Basement_Area"]=2878.5
In [173]:
IQR_7=test["First_Floor_Area"].quantile(0.75)-test["First_Floor_Area"].quantile(0.25)
IQR_7
Out[173]:
509.0
In [174]:
up_7=train["First_Floor_Area"].quantile(0.75)+(3*IQR_7)
lw_7=train["First_Floor_Area"].quantile(0.25)-(3*IQR_7)
print(up_7,lw_7)

2918.5 -645.0
In [175]:
test.First_Floor_Area.describe()
Out[175]:
count    1459.000000
mean     1156.534613
std       398.165820
min       407.000000
25%       873.500000
50%      1079.000000
75%      1382.500000
max      5095.000000
Name: First_Floor_Area, dtype: float64
In [176]:
d2.loc[d2["First_Floor_Area"]>2949.0,"First_Floor_Area"]=2949.0
In [177]:
IQR_8=test["Second_Floor_Area"].quantile(0.75)-test["Second_Floor_Area"].quantile(0.25)
IQR_8
Out[177]:
676.0
In [178]:
up_8=train["Second_Floor_Area"].quantile(0.75)+(1.5*IQR_8)
lw_8=train["Second_Floor_Area"].quantile(0.25)-(1.5*IQR_8)
print(up_8,lw_8)

1742.0 -1014.0
In [179]:
test.Second_Floor_Area.describe()
Out[179]:
count    1459.000000
mean      325.967786
std       420.610226
min         0.000000
25%         0.000000
50%         0.000000
75%       676.000000
max      1862.000000
Name: Second_Floor_Area, dtype: float64
In [180]:
d2.loc[d2["Second_Floor_Area"]>1703.0,"Second_Floor_Area"]=1703.0
In [181]:
up_9=train["LowQualFinSF"].mean()+3*train["LowQualFinSF"].std()
lw_9=train["LowQualFinSF"].mean()-3*train["LowQualFinSF"].std()
print(up_9,lw_9)

151.76706285948669 -140.0700100836128
In [182]:
test.LowQualFinSF.describe()
Out[182]:
count    1459.000000
mean        3.543523
std        44.043251
min         0.000000
25%         0.000000
50%         0.000000
75%         0.000000
max      1064.000000
Name: LowQualFinSF, dtype: float64
In [183]:
d2.loc[d2["LowQualFinSF"]>62.3047569372025,"LowQualFinSF"]=62.3047569372025
In [184]:
IQR_10=test["Grade_Living_Area"].quantile(0.75)-test["Grade_Living_Area"].quantile(0.25)
IQR_10
Out[184]:
603.5
In [185]:
up_10=train["Grade_Living_Area"].quantile(0.75)+(3*IQR_10)
lw_10=train["Grade_Living_Area"].quantile(0.25)-(3*IQR_10)
print(up_10,lw_10)

3588.0 -681.5
In [186]:
test.Grade_Living_Area.describe()
Out[186]:
count    1459.000000
mean     1486.045922
std       485.566099
min       407.000000
25%      1117.500000
50%      1432.000000
75%      1721.000000
max      5095.000000
Name: Grade_Living_Area, dtype: float64
In [187]:
d2.loc[d2["Grade_Living_Area"]>3588.0,"Grade_Living_Area"]=3588.0
In [188]:
IQR_11=test["Garage_Area"].quantile(0.75)-test["Garage_Area"].quantile(0.25)
IQR_11
Out[188]:
258.0
In [189]:
up_11=train["Garage_Area"].quantile(0.75)+(3*IQR_11)
lw_11=train["Garage_Area"].quantile(0.25)-(3*IQR_11)
print(up_11,lw_11)

1381.0 -445.0
In [190]:
test.Garage_Area.describe()
Out[190]:
count    1459.000000
mean      472.768334
std       216.974166
min         0.000000
25%       318.000000
50%       480.000000
75%       576.000000
max      1488.000000
Name: Garage_Area, dtype: float64
In [191]:
d2.loc[d2["Garage_Area"]>1381.0,"Garage_Area"]=1381.0
In [192]:
IQR_12=test["W_Deck_Area"].quantile(0.75)-test["W_Deck_Area"].quantile(0.25)
IQR_12
Out[192]:
168.0
In [193]:
up_12=train["W_Deck_Area"].quantile(0.75)+(3*IQR_12)
lw_12=train["W_Deck_Area"].quantile(0.25)-(3*IQR_12)
print(up_12,lw_12)

684.0 -495.0
In [194]:
test.W_Deck_Area.describe()
Out[194]:
count    1459.000000
mean       93.174777
std       127.744882
min         0.000000
25%         0.000000
50%         0.000000
75%       168.000000
max      1424.000000
Name: W_Deck_Area, dtype: float64
In [195]:
d2.loc[d2["W_Deck_Area"]>684.0,"W_Deck_Area"]=684.0
In [196]:
IQR_13=test["Open_Lobby_Area"].quantile(0.75)-test["Open_Lobby_Area"].quantile(0.25)
IQR_13
Out[196]:
72.0
In [197]:
up_13=train["Open_Lobby_Area"].quantile(0.75)+(3*IQR_13)
lw_13=train["Open_Lobby_Area"].quantile(0.25)-(3*IQR_13)
print(up_13,lw_13)

312.0 -214.5
In [198]:
test.Open_Lobby_Area.describe()
Out[198]:
count    1459.000000
mean       48.313914
std        68.883364
min         0.000000
25%         0.000000
50%        28.000000
75%        72.000000
max       742.000000
Name: Open_Lobby_Area, dtype: float64
In [199]:
d2.loc[d2["Open_Lobby_Area"]>312.0,"Open_Lobby_Area"]=312.0
In [200]:
IQR_14=test["Enclosed_Lobby_Area"].quantile(0.75)-test["Enclosed_Lobby_Area"].quantile(0.25)
IQR_14
Out[200]:
0.0
In [201]:
up_14=train["Enclosed_Lobby_Area"].quantile(0.75)+(3*IQR_14)
lw_14=train["Enclosed_Lobby_Area"].quantile(0.25)-(3*IQR_14)
print(up_14,lw_14)

66.0 -16.0
In [202]:
test.Enclosed_Lobby_Area.describe()
Out[202]:
count    1459.000000
mean       24.243317
std        67.227765
min         0.000000
25%         0.000000
50%         0.000000
75%         0.000000
max      1012.000000
Name: Enclosed_Lobby_Area, dtype: float64
In [203]:
d2.loc[d2["Enclosed_Lobby_Area"]>66.0,"Enclosed_Lobby_Area"]=66.0
In [204]:
up_15=train["Three_Season_Lobby_Area"].mean()+3*train["Three_Season_Lobby_Area"].std()
lw_15=train["Three_Season_Lobby_Area"].mean()-3*train["Three_Season_Lobby_Area"].std()
print(up_15,lw_15)

91.39366624305208 -84.56981428965935
In [205]:
test.Three_Season_Lobby_Area.describe()
Out[205]:
count    1459.000000
mean        1.794380
std        20.207842
min         0.000000
25%         0.000000
50%         0.000000
75%         0.000000
max       360.000000
Name: Three_Season_Lobby_Area, dtype: float64
In [206]:
test.loc[test["Three_Season_Lobby_Area"]>37.97262395873686,"Three_Season_Lobby_Area"]=37.97262395873686
In [207]:
up_16=train["Screen_Lobby_Area"].mean()+3*train["Screen_Lobby_Area"].std()
lw_16=train["Screen_Lobby_Area"].mean()-3*train["Screen_Lobby_Area"].std()
print(up_16,lw_16)

182.39669442924676 -152.254131029658
In [208]:
test.Screen_Lobby_Area.describe()
Out[208]:
count    1459.000000
mean       17.064428
std        56.609763
min         0.000000
25%         0.000000
50%         0.000000
75%         0.000000
max       576.000000
Name: Screen_Lobby_Area, dtype: float64
In [209]:
d2.loc[d2["Screen_Lobby_Area"]>153.45311264336374,"Screen_Lobby_Area"]=153.45311264336374
In [210]:
#Q1=test.quantile(0.25)
#Q3=test.quantile(0.75)
#IQR_t=Q3-Q1
#print(IQR_t)
In [195]:
#pd.set_option("display.max_columns",None)
#test=test[((test<(Q1-1.5*IQR_t)) |(test>(Q3+1.5*IQR_t))).any(axis=1)]
#test
Out[195]:
Id Building_Class Zoning_Class Lot_Extent Lot_Size Road_Type Property_Shape Land_Outline Utility_Type Lot_Configuration Property_Slope Neighborhood Condition1 Condition2 House_Type House_Design Overall_Material House_Condition Construction_Year Remodel_Year Roof_Design Roof_Quality Exterior1st Exterior2nd Exterior_Material Exterior_Condition Foundation_Type Basement_Height Basement_Condition Exposure_Level BsmtFinType1 BsmtFinSF1 BsmtFinType2 BsmtFinSF2 BsmtUnfSF Total_Basement_Area Heating_Type Heating_Quality Air_Conditioning Electrical_System First_Floor_Area Second_Floor_Area LowQualFinSF Grade_Living_Area Underground_Full_Bathroom Underground_Half_Bathroom Full_Bathroom_Above_Grade Half_Bathroom_Above_Grade Bedroom_Above_Grade Kitchen_Above_Grade Kitchen_Quality Rooms_Above_Grade Functional_Rate Fireplaces Garage Garage_Size Garage_Area Garage_Quality Garage_Condition Pavedd_Drive W_Deck_Area Open_Lobby_Area Enclosed_Lobby_Area Three_Season_Lobby_Area Screen_Lobby_Area Pool_Area Sale_Type Sale_Condition
0 1461 20 2 80 16104.000000 1 3 3 0 4 0 12 1 3 0 2 5 6 1961 1961 1 0 10 12 3 4 1 3 3 3 4 468 3 144 270 882.0 0 4 1 3 896 0 0.000000 896 0 0 1 0 2 1 3 5 7 0 2 1 730.0 3 4 2 140.0 0 0 0.000000 120.000000 0 8 6
1 1462 20 3 81 15639.000000 1 0 3 0 0 0 12 3 3 0 2 6 6 1958 1958 3 0 11 13 3 4 1 3 3 3 0 923 5 0 406 1329.0 0 4 1 3 1329 0 0.000000 1329 0 0 1 1 3 1 2 6 7 0 2 1 312.0 3 4 2 393.0 36 0 0.000000 0.000000 0 8 6
4 1465 120 3 43 3046.000000 1 0 1 0 4 0 22 3 3 4 2 8 5 1992 1992 1 0 6 6 2 4 2 2 3 3 0 263 5 0 1017 1280.0 0 0 1 3 1280 0 0.000000 1280 0 0 2 0 2 1 2 5 7 0 2 2 506.0 3 4 2 0.0 82 0 0.000000 144.000000 0 8 6
6 1467 20 3 68 15033.000000 1 0 3 0 4 0 8 3 3 0 2 6 7 1992 2007 1 0 6 6 3 2 2 2 3 3 0 935 5 0 233 1168.0 0 0 1 3 1187 0 0.000000 1187 1 0 2 0 3 1 3 6 7 0 2 2 420.0 3 4 2 483.0 21 0 0.000000 0.000000 0 8 6
9 1470 20 3 70 11464.000000 1 3 3 0 0 0 12 3 3 0 2 4 5 1970 1970 1 0 8 9 3 4 1 3 3 3 0 804 4 78 0 882.0 0 4 1 3 882 0 0.000000 882 1 0 1 0 2 1 3 4 7 0 2 2 525.0 3 4 2 240.0 0 0 0.000000 0.000000 0 8 6
10 1471 120 2 26 7061.000000 1 0 3 0 2 0 12 3 3 4 2 7 5 1999 1999 1 0 7 8 2 4 2 2 3 3 2 1051 1 0 354 1405.0 0 0 1 3 1337 0 0.000000 1337 1 0 2 0 2 1 2 5 7 1 2 2 511.0 3 4 2 203.0 68 0 0.000000 0.000000 0 8 6
11 1472 160 4 21 12770.000000 1 3 3 0 4 0 2 2 2 3 4 6 5 1971 1971 1 0 6 6 3 4 1 3 3 3 4 156 5 0 327 483.0 0 4 1 3 483 504 0.000000 987 0 0 1 1 2 1 3 5 7 0 6 1 264.0 3 4 2 275.0 0 0 0.000000 0.000000 0 0 5
12 1473 160 4 21 6518.000000 1 3 3 0 4 0 2 2 2 3 4 5 5 1971 1971 1 0 6 6 3 4 1 3 3 3 4 300 5 0 225 525.0 0 4 1 3 525 567 0.000000 1092 0 0 1 1 3 1 3 6 7 0 6 1 320.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
13 1474 160 3 24 1368.000000 1 3 3 0 2 0 13 3 3 3 4 6 6 1975 1975 1 0 8 2 3 4 1 3 3 3 0 514 5 0 341 855.0 0 4 1 3 855 601 0.000000 1456 0 0 2 1 3 1 2 6 7 1 2 2 440.0 3 4 2 173.0 0 0 0.000000 0.000000 0 8 6
14 1475 120 3 24 20099.000000 1 3 3 0 2 0 13 3 3 3 2 7 6 1975 1975 1 0 8 2 3 4 1 2 3 3 5 0 5 0 836 836.0 0 0 1 3 836 0 0.000000 836 0 0 1 0 2 1 3 4 7 0 2 1 308.0 3 4 2 0.0 30 0 0.000000 0.000000 0 8 6
15 1476 60 3 102 1416.000000 1 0 3 0 4 0 16 3 3 0 4 9 5 2009 2010 1 0 10 12 0 4 2 0 3 3 5 0 5 0 1590 1590.0 0 0 1 3 1627 707 0.000000 2334 0 0 2 1 3 1 0 10 7 1 2 3 751.0 3 4 2 144.0 133 0 0.000000 0.000000 0 6 7
16 1477 20 3 94 12599.000000 1 0 3 0 0 0 16 3 3 0 2 8 5 2009 2010 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1544 1544.0 0 0 1 3 1544 0 0.000000 1544 0 0 2 0 3 1 2 7 7 0 2 3 868.0 3 4 2 0.0 35 0 0.000000 0.000000 0 6 7
17 1478 20 3 90 11487.000000 1 3 3 0 4 0 16 5 3 0 2 9 5 2005 2005 3 0 10 12 2 4 2 0 3 3 2 110 5 0 1588 1698.0 0 0 1 3 1698 0 0.000000 1698 0 0 2 0 3 1 0 7 7 1 2 3 730.0 3 4 2 192.0 74 0 0.000000 0.000000 0 8 6
18 1479 20 3 79 11344.000000 1 0 3 0 4 0 16 3 3 0 2 8 5 2005 2006 3 0 5 5 2 4 2 0 3 3 2 28 5 0 1794 1822.0 0 0 1 3 1822 0 0.000000 1822 0 0 2 0 3 1 0 8 7 1 2 3 678.0 3 4 2 0.0 119 0 0.000000 0.000000 0 8 6
19 1480 20 3 110 11656.000000 1 3 1 0 4 1 16 3 3 0 2 9 5 2003 2004 3 0 10 12 0 4 2 0 3 1 2 1373 5 0 1473 2846.0 0 0 1 3 2696 0 0.000000 2696 1 0 2 1 3 1 0 10 7 2 2 3 958.0 3 4 2 220.0 150 0 0.000000 0.000000 0 8 6
21 1482 120 3 41 11374.000000 1 0 3 0 4 0 16 3 3 4 2 8 5 2006 2006 1 0 10 12 2 4 2 2 3 2 2 24 5 0 1346 1370.0 0 0 1 3 1370 0 0.000000 1370 0 0 2 0 2 1 2 6 7 1 2 2 484.0 3 4 2 120.0 49 0 0.000000 0.000000 0 8 6
23 1484 120 3 43 2793.000000 1 3 3 0 4 0 0 3 3 4 2 7 5 2006 2006 1 0 10 12 2 4 2 2 3 0 2 16 5 0 1129 1145.0 0 0 1 3 1145 0 0.000000 1145 0 0 2 0 2 1 2 6 7 0 2 2 437.0 3 4 2 100.0 116 0 0.000000 0.000000 0 8 6
26 1487 60 3 60 2576.000000 1 1 3 0 1 0 15 3 3 0 4 8 5 1998 1998 3 0 10 12 2 4 2 0 3 3 5 0 5 0 1629 1629.0 0 0 1 3 1645 830 0.000000 2475 0 0 2 1 4 1 2 7 7 1 2 3 962.0 3 4 2 23.0 172 0 0.000000 153.453113 0 8 6
28 1489 20 1 92 8081.000000 1 3 3 0 4 0 21 3 3 0 2 7 5 2009 2010 3 0 10 12 2 4 2 2 3 3 5 0 5 0 1218 1218.0 0 0 1 3 1218 0 0.000000 1218 0 0 2 0 2 1 2 4 7 0 2 2 676.0 3 4 2 0.0 136 0 0.000000 0.000000 0 6 7
29 1490 20 1 84 15013.000000 1 3 3 0 0 0 21 3 3 0 2 6 5 2005 2005 1 0 10 12 2 4 2 0 3 3 2 1414 5 0 54 1468.0 0 0 1 3 1468 0 0.000000 1468 1 0 2 0 2 1 2 6 7 1 2 2 528.0 3 4 2 0.0 102 0 0.000000 153.453113 0 8 6
30 1491 60 3 70 3579.000000 1 3 3 0 4 0 20 3 3 0 4 7 5 2004 2004 1 0 10 12 2 4 2 2 3 0 5 0 5 0 831 831.0 0 0 1 3 831 828 0.000000 1659 0 0 2 1 3 1 2 8 7 0 2 2 484.0 3 4 2 144.0 68 0 0.000000 0.000000 0 8 6
31 1492 30 2 70 5269.000000 1 3 3 0 0 0 20 1 3 0 2 5 5 1920 1950 1 0 11 13 3 1 0 3 3 3 5 0 5 0 816 816.0 0 4 0 0 1012 0 0.000000 1012 0 0 1 0 2 1 3 5 7 0 6 1 429.0 3 4 2 121.0 0 66 0.000000 0.000000 0 8 6
32 1493 20 3 39 10696.000000 1 0 3 0 1 0 19 8 3 0 2 6 6 1974 2002 3 0 8 9 3 2 1 3 3 1 1 126 2 430 223 1208.0 0 0 1 3 1494 0 0.000000 1494 1 0 2 0 3 1 3 7 7 2 2 2 461.0 3 4 2 296.0 0 66 0.000000 0.000000 0 8 1
33 1494 60 3 85 13281.000000 1 0 3 0 4 0 15 3 3 0 4 8 5 1993 1993 1 0 6 7 2 4 2 2 3 3 3 250 2 430 0 1231.0 0 0 1 3 1251 1098 0.000000 2349 1 0 2 1 4 1 2 9 7 1 2 3 762.0 3 4 2 32.0 130 0 0.000000 0.000000 0 8 6
35 1496 120 1 25 4865.000000 1 0 3 0 1 0 21 3 3 4 2 7 5 2004 2005 1 0 7 8 2 4 2 0 3 0 2 1298 5 0 190 1488.0 0 0 1 3 1488 0 0.000000 1488 1 0 2 0 2 1 2 6 7 1 2 2 506.0 3 4 2 168.0 50 0 0.000000 0.000000 0 8 6
36 1497 160 1 39 7980.000000 1 3 3 0 4 0 21 3 3 4 4 7 5 2004 2004 1 0 10 12 2 4 2 2 3 3 5 0 5 0 840 840.0 0 0 1 3 840 840 0.000000 1680 0 0 2 1 2 1 2 3 7 0 2 2 588.0 3 4 2 0.0 111 0 0.000000 0.000000 0 8 6
37 1498 160 1 30 9266.000000 1 3 3 0 4 0 21 3 3 4 4 7 5 2004 2004 1 0 7 8 2 4 2 2 3 0 2 280 5 0 320 600.0 0 0 1 3 600 600 0.000000 1200 0 0 2 1 2 1 2 4 7 0 6 2 480.0 3 4 2 0.0 172 0 0.000000 0.000000 0 3 6
38 1499 160 1 24 17542.000000 1 3 3 0 4 0 21 3 3 3 4 7 5 2004 2005 1 0 7 8 2 4 2 2 3 3 2 368 0 42 190 600.0 0 0 1 3 600 600 0.000000 1200 1 0 2 1 2 1 2 4 7 0 6 2 480.0 3 4 2 0.0 172 0 0.000000 0.000000 0 8 6
39 1500 160 1 24 8434.000000 1 3 3 0 4 0 21 3 3 3 4 6 5 2005 2005 1 0 10 12 2 4 2 2 3 3 2 376 5 0 224 600.0 0 0 1 3 600 636 0.000000 1236 1 0 2 1 2 1 2 4 7 0 6 2 480.0 3 4 2 0.0 166 0 0.000000 0.000000 0 8 6
40 1501 160 1 68 4707.000000 1 3 3 0 0 0 21 3 3 4 4 6 5 2000 2000 1 0 7 8 2 4 2 2 3 3 2 466 5 0 290 756.0 0 0 1 3 756 756 0.000000 1512 1 0 2 1 2 1 2 5 7 0 6 2 440.0 3 4 2 0.0 32 0 0.000000 0.000000 0 8 6
41 1502 160 1 68 4746.000000 1 0 3 0 2 0 21 3 3 4 4 7 5 2003 2003 1 0 10 12 2 4 2 2 3 3 2 244 5 0 286 530.0 0 0 1 3 530 550 0.000000 1080 0 0 2 1 2 1 2 4 7 0 2 2 496.0 3 4 2 0.0 50 0 0.000000 0.000000 0 8 6
42 1503 20 1 57 10889.000000 1 0 3 0 4 0 21 3 3 0 2 8 5 2010 2010 1 0 5 5 2 4 2 0 2 3 2 1032 5 0 610 1642.0 0 0 1 3 1418 0 0.000000 1418 1 0 1 1 1 1 2 6 7 1 2 3 852.0 3 4 2 160.0 192 0 37.972624 0.000000 0 6 7
43 1504 60 1 68 13455.000000 1 0 3 0 4 0 21 3 3 0 4 8 5 2000 2000 1 0 10 12 2 4 2 2 3 3 2 484 5 0 491 975.0 0 0 1 3 975 873 0.000000 1848 1 0 2 1 3 1 2 7 7 1 2 2 592.0 3 4 2 280.0 184 0 0.000000 0.000000 0 8 6
44 1505 20 1 80 492.000000 1 3 3 0 4 0 21 3 3 0 2 7 5 2002 2002 1 0 10 12 2 4 2 2 3 3 2 833 5 0 659 1492.0 0 0 1 3 1492 0 0.000000 1492 1 0 2 0 3 1 2 6 7 1 2 2 596.0 3 4 2 277.0 137 0 0.000000 0.000000 0 8 6
45 1506 20 3 68 10866.000000 1 0 3 0 4 0 14 3 3 0 2 6 6 1967 1967 3 0 6 6 3 4 1 3 3 3 2 506 5 0 1323 1829.0 0 2 1 3 1829 0 0.000000 1829 1 0 2 0 4 1 3 8 7 0 2 2 535.0 3 4 2 0.0 76 0 0.000000 0.000000 0 8 6
47 1508 50 3 68 4867.000000 1 0 3 0 4 0 14 3 3 0 0 6 5 1978 1978 1 0 7 8 3 4 2 2 3 2 0 687 3 46 491 1224.0 0 4 1 3 1287 604 0.000000 1891 0 1 3 0 3 1 3 7 7 1 2 2 678.0 3 4 2 0.0 69 0 0.000000 0.000000 0 8 6
49 1510 20 3 80 15467.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1966 1966 3 0 10 12 3 4 1 3 3 3 4 698 5 0 534 1232.0 0 4 1 3 1232 0 0.000000 1232 1 0 1 1 3 1 3 6 7 0 2 2 490.0 3 4 2 0.0 224 0 0.000000 0.000000 0 8 6
50 1511 20 3 90 5649.000000 1 3 3 0 0 0 12 3 3 0 2 5 5 1966 1966 3 0 6 6 3 4 2 2 3 3 1 1059 5 0 150 1209.0 0 2 1 3 1209 0 0.000000 1209 1 0 1 0 3 1 3 6 7 0 2 2 504.0 3 4 2 0.0 0 66 0.000000 0.000000 0 3 6
51 1512 20 3 88 12240.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1967 1967 1 0 11 9 3 4 1 3 3 3 1 1010 5 0 500 1510.0 0 0 1 3 1510 0 0.000000 1510 1 0 2 0 3 1 2 6 7 0 2 2 517.0 3 4 2 0.0 40 0 0.000000 153.453113 0 8 6
52 1513 80 3 68 15403.000000 1 0 3 0 4 0 12 3 3 0 6 6 5 1964 1964 1 0 6 6 3 4 1 3 3 3 5 0 5 0 533 533.0 0 4 1 3 1131 644 0.000000 1775 0 0 2 0 3 1 3 8 7 0 2 2 480.0 3 4 2 0.0 172 0 0.000000 0.000000 0 0 4
53 1514 90 3 98 18145.000000 1 0 3 0 4 0 12 3 3 2 2 5 6 1962 2001 3 0 6 6 3 4 1 3 3 3 1 1500 5 0 228 1728.0 0 4 1 3 1728 0 0.000000 1728 2 0 2 0 6 2 3 10 7 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 7 1
54 1515 50 3 68 13800.000000 1 3 3 0 4 0 12 3 3 0 0 5 7 1952 2002 1 0 7 8 2 4 1 3 3 3 3 670 5 0 470 1140.0 0 2 1 3 1929 532 0.000000 2461 0 0 2 0 3 1 3 7 1 2 6 2 400.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
55 1516 50 3 120 6441.000000 1 3 3 0 0 0 12 0 3 0 0 6 6 1949 1950 1 0 7 8 3 2 1 3 3 3 4 300 5 0 482 782.0 0 4 1 3 1019 537 0.000000 1556 0 0 2 0 3 1 3 6 7 1 2 2 470.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
56 1517 85 3 75 867.000000 1 0 3 0 4 0 12 3 3 0 5 6 8 1966 2008 1 0 6 6 3 4 1 3 3 1 2 944 5 0 136 1080.0 0 2 1 3 1128 0 0.000000 1128 1 0 1 0 2 1 2 5 7 1 2 1 315.0 3 4 2 238.0 0 0 0.000000 0.000000 0 8 6
57 1518 90 3 70 15953.000000 1 3 3 0 0 0 12 1 3 2 2 5 5 1958 1958 1 0 6 6 3 4 1 3 3 3 5 0 5 0 1604 1604.0 0 4 1 3 1604 0 0.000000 1604 0 0 2 0 4 2 3 8 7 0 2 2 576.0 3 4 2 42.0 0 0 0.000000 0.000000 0 8 6
59 1520 20 3 68 5110.000000 1 0 3 0 4 0 12 3 3 0 2 5 5 1959 1959 3 0 7 8 3 4 1 3 3 3 1 856 4 162 125 1143.0 0 4 1 3 1143 0 0.000000 1143 1 0 1 0 3 1 3 6 7 0 2 1 308.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
60 1521 20 3 87 11841.000000 1 0 3 0 4 0 12 3 3 0 2 5 5 1959 1959 3 0 7 8 3 4 1 3 3 3 4 936 5 0 270 1206.0 0 1 1 3 1206 0 0.000000 1206 0 0 1 0 3 1 3 6 7 0 2 1 312.0 3 4 2 0.0 21 0 0.000000 0.000000 0 8 6
61 1522 20 3 80 7744.000000 1 3 3 0 4 0 12 3 3 0 2 6 5 1959 1959 1 0 11 13 3 4 1 3 3 3 4 734 5 0 510 1244.0 0 0 1 3 1580 0 0.000000 1580 1 0 1 1 3 1 3 6 7 2 2 2 440.0 3 4 2 0.0 28 0 0.000000 153.453113 0 8 6
62 1523 50 3 60 11748.000000 1 3 3 0 4 0 12 3 3 0 0 4 5 1956 1956 1 0 7 8 3 4 1 3 3 3 5 0 5 0 832 832.0 0 4 1 0 832 505 0.000000 1337 0 0 1 0 3 1 3 5 7 0 2 1 263.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
63 1524 20 3 60 1925.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1952 1952 1 0 12 14 3 4 1 3 3 3 1 339 5 0 525 864.0 0 4 1 3 1064 0 0.000000 1064 0 1 1 0 2 1 1 4 7 0 6 1 318.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
64 1525 20 3 119 9286.000000 1 3 3 0 0 0 12 3 3 0 2 5 6 1955 1955 1 0 7 8 3 2 1 3 3 3 4 648 5 0 324 972.0 0 4 1 3 972 0 0.000000 972 0 0 1 0 3 1 3 5 7 0 2 1 305.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
65 1526 190 3 70 16581.000000 1 3 3 0 4 0 12 3 3 1 2 5 5 1958 1958 1 0 7 8 3 4 1 3 3 0 4 532 5 0 456 988.0 0 4 1 3 988 0 0.000000 988 1 0 1 0 2 1 3 5 7 0 2 1 264.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 1
66 1527 30 3 65 10254.000000 1 3 3 0 0 0 12 3 3 0 2 4 7 1920 1994 1 0 7 8 3 4 0 3 3 3 5 0 5 0 576 576.0 0 2 1 3 985 0 0.000000 985 0 1 1 0 2 1 3 4 7 0 6 2 676.0 3 4 0 0.0 0 0 0.000000 0.000000 0 8 6
67 1528 50 3 60 14856.000000 1 3 3 0 4 0 12 0 3 0 0 6 8 1948 2004 1 0 12 14 3 4 1 3 3 3 0 481 4 174 161 816.0 0 4 1 3 816 408 0.000000 1224 1 0 1 0 3 1 3 5 7 0 6 1 280.0 3 4 2 414.0 0 0 0.000000 0.000000 0 8 6
68 1529 20 3 81 13032.000000 1 0 3 0 0 0 12 3 3 0 2 5 6 1960 1960 1 0 3 13 3 4 1 3 3 3 4 588 3 350 237 1175.0 0 0 1 3 1175 0 0.000000 1175 0 0 1 1 3 1 3 6 7 0 6 2 484.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
69 1530 20 3 80 22082.000000 1 3 3 0 4 1 12 3 3 0 2 6 7 1963 1984 3 0 11 13 3 4 1 3 3 1 1 717 3 263 415 1395.0 0 4 1 3 1395 0 0.000000 1395 1 0 1 0 2 1 3 7 0 1 2 2 440.0 3 4 2 657.0 0 66 0.000000 153.453113 0 8 6
70 1531 50 4 60 11574.000000 1 3 3 0 0 0 17 2 2 0 0 4 5 1900 1954 3 0 11 13 3 4 2 3 3 3 0 48 5 0 661 709.0 0 4 1 3 1157 687 0.000000 1844 1 0 1 0 3 1 3 9 1 2 3 1 240.0 3 4 2 84.0 0 0 0.000000 0.000000 0 0 0
71 1532 30 4 56 7950.000000 1 3 3 0 4 0 17 0 2 0 2 5 7 1920 1950 1 0 11 13 3 4 2 3 3 3 1 579 5 0 357 936.0 0 4 1 3 936 0 0.000000 936 1 0 1 0 2 1 3 5 7 1 5 0 0.0 2 0 1 51.0 0 66 0.000000 0.000000 0 8 5
72 1533 20 4 69 5810.000000 1 3 0 0 4 1 17 2 2 0 2 5 7 1957 1957 3 0 7 8 3 4 1 3 3 2 1 274 4 430 0 1347.0 0 2 1 3 1347 0 0.000000 1347 1 1 1 0 3 1 2 6 7 0 6 2 551.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
73 1534 45 4 50 6969.000000 1 3 3 0 0 0 17 2 2 0 0 6 7 1938 2000 1 0 7 8 3 4 2 2 3 3 5 0 5 0 827 827.0 0 2 1 3 827 424 0.000000 1251 0 0 1 0 3 1 1 6 7 0 6 1 240.0 0 4 0 0.0 0 0 0.000000 0.000000 0 8 5
74 1535 50 4 69 3722.000000 1 3 3 0 4 0 17 0 2 0 0 5 7 1948 2009 1 0 10 12 3 2 0 3 3 3 1 780 5 0 247 1027.0 0 0 1 3 1027 606 0.000000 1633 0 0 1 0 3 1 2 7 7 1 6 1 240.0 3 4 2 0.0 100 66 0.000000 0.000000 0 8 5
75 1536 50 4 68 4687.000000 1 3 3 0 4 0 17 0 2 0 0 5 6 1920 1962 1 0 7 8 3 4 0 3 3 3 4 176 5 0 832 1008.0 0 4 1 3 1060 185 0.000000 1245 0 0 1 0 3 1 3 6 7 0 6 1 315.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
76 1537 30 4 68 22688.000000 1 3 3 0 4 0 17 2 2 0 2 2 2 1923 1970 1 0 0 0 3 1 0 1 0 3 5 0 5 0 678 678.0 0 4 0 3 832 0 0.000000 832 0 0 1 0 2 1 3 5 7 1 6 2 780.0 0 1 0 0.0 0 0 0.000000 0.000000 0 8 0
77 1538 70 4 60 13117.000000 1 3 3 0 0 0 17 2 2 0 4 8 9 1900 2003 1 0 11 13 2 2 0 3 3 3 5 0 5 0 930 930.0 1 4 0 3 930 636 0.000000 1566 0 0 2 0 3 1 2 7 7 0 6 1 288.0 3 4 2 54.0 228 66 0.000000 0.000000 0 8 0
78 1539 70 4 50 2905.000000 1 3 3 0 4 0 17 2 2 0 4 8 9 1890 2002 1 0 11 13 2 2 3 1 0 3 5 0 5 0 346 346.0 0 0 1 3 1157 1111 0.000000 2268 0 0 3 0 3 1 2 7 7 0 6 2 624.0 3 4 0 0.0 108 0 0.000000 0.000000 0 8 5
79 1540 190 4 100 12210.000000 1 3 3 0 4 0 17 2 2 1 4 5 3 1910 1950 1 0 7 8 3 1 0 3 3 2 5 0 5 0 840 840.0 2 1 0 1 1128 1128 0.000000 2256 0 0 2 0 4 2 1 12 7 0 5 0 0.0 2 0 0 0.0 18 18 0.000000 0.000000 0 8 0
80 1541 70 4 60 10663.000000 1 3 3 0 4 0 17 2 2 0 4 6 7 1922 1994 1 0 11 13 3 4 1 1 3 3 4 283 5 0 455 738.0 0 0 1 3 868 602 0.000000 1470 0 0 1 1 2 1 3 6 0 0 6 2 624.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
81 1542 50 4 53 20720.000000 1 3 3 0 0 0 3 1 1 0 0 5 6 1950 1997 1 0 7 8 3 2 1 3 3 3 4 788 5 0 200 988.0 0 0 1 3 1030 582 0.000000 1612 0 0 1 1 3 1 3 7 7 0 6 1 363.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
82 1543 75 3 68 19700.000000 1 0 0 0 0 0 3 3 3 0 3 7 7 1922 2005 1 0 11 13 3 4 0 2 3 3 1 474 5 0 634 1108.0 0 4 0 0 1160 908 0.000000 2068 0 0 1 1 3 1 2 8 7 1 6 1 315.0 3 4 2 0.0 0 60 0.000000 0.000000 0 8 6
83 1544 30 4 50 10596.000000 1 3 3 0 4 0 3 1 2 0 2 4 7 1925 1950 1 0 7 8 3 4 0 3 3 3 4 188 5 0 577 765.0 0 4 0 1 765 0 0.000000 765 1 0 1 0 2 1 2 4 7 0 6 1 200.0 0 4 1 135.0 0 41 0.000000 0.000000 0 8 5
84 1545 50 4 50 17171.000000 1 3 3 0 4 0 3 2 2 0 0 6 7 1939 1950 1 0 7 8 3 4 0 3 1 3 1 452 3 12 144 608.0 0 4 1 3 608 524 0.000000 1132 1 0 1 0 2 1 3 5 7 0 6 1 240.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 0
85 1546 50 4 50 15182.000000 1 3 3 0 4 0 3 2 2 0 0 6 6 1940 1950 1 0 7 8 3 2 1 3 3 3 3 264 5 0 308 572.0 0 0 1 0 848 348 0.000000 1196 0 1 1 1 3 1 3 6 7 2 6 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
86 1547 50 4 53 6513.000000 1 3 3 0 0 0 3 1 2 0 0 5 6 1942 1950 1 0 7 8 3 4 1 3 3 3 4 360 3 159 316 835.0 0 4 1 0 955 498 0.000000 1453 0 0 1 1 3 1 2 7 1 2 6 1 240.0 3 4 2 0.0 0 35 0.000000 148.000000 0 8 5
87 1548 50 4 50 17980.000000 1 3 3 0 4 0 3 2 2 0 0 6 7 1948 1950 1 0 11 13 3 4 1 3 3 3 4 300 5 0 480 780.0 0 4 1 3 780 636 0.000000 1416 0 0 1 1 3 1 3 6 7 0 6 1 312.0 3 4 1 221.0 0 48 0.000000 0.000000 0 8 5
88 1549 50 4 52 10442.000000 1 3 3 0 4 0 3 2 2 0 0 5 7 1936 1980 1 0 10 12 3 4 1 3 0 3 4 276 5 0 252 528.0 0 2 1 3 548 492 0.000000 1040 0 0 1 0 2 1 3 5 7 0 6 2 624.0 3 4 1 306.0 0 32 0.000000 0.000000 0 8 5
89 1550 50 4 52 13025.000000 1 3 3 0 4 0 3 2 2 0 0 5 5 1930 1950 1 0 7 8 3 4 0 3 3 3 3 448 5 0 480 928.0 0 4 1 1 928 608 0.000000 1536 0 0 2 0 4 1 3 7 7 1 6 2 480.0 3 4 2 0.0 10 0 0.000000 0.000000 0 8 5
90 1551 30 4 51 7617.000000 1 3 3 0 4 0 17 0 2 0 2 6 5 1923 1950 1 0 11 13 3 4 0 1 0 3 0 960 5 0 164 1124.0 0 4 1 3 1068 0 0.000000 1068 1 0 1 0 2 1 3 5 7 1 6 1 288.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
91 1552 50 4 57 11028.000000 1 3 3 0 4 0 17 2 2 0 0 4 5 1915 1950 1 0 7 8 3 1 1 3 3 3 5 0 5 0 888 888.0 0 0 1 3 888 1074 0.000000 1962 0 0 1 1 4 1 3 9 7 1 6 2 572.0 3 4 2 160.0 0 66 0.000000 0.000000 0 8 5
92 1553 70 4 60 12264.000000 1 3 3 0 4 0 17 2 2 0 4 6 8 1912 2009 1 0 11 13 2 2 2 3 3 3 5 0 5 0 780 780.0 0 0 1 3 780 780 0.000000 1560 0 0 1 1 3 1 2 7 7 0 5 0 0.0 2 0 0 344.0 0 0 0.000000 153.453113 0 8 5
93 1554 70 4 52 10735.000000 1 3 3 0 4 0 17 2 2 0 4 6 8 1920 1993 1 0 10 12 3 2 0 3 3 3 5 0 5 0 662 662.0 0 0 1 3 662 662 0.000000 1324 0 1 1 0 3 1 3 6 7 0 6 1 180.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
94 1555 20 3 100 7794.000000 1 0 3 0 4 0 4 1 3 0 2 5 5 1959 1959 1 0 6 6 3 4 1 2 3 3 4 766 5 0 656 1422.0 0 2 1 3 1675 0 0.000000 1675 0 0 2 0 3 1 3 8 7 2 2 1 365.0 3 4 2 0.0 132 0 0.000000 0.000000 0 8 6
95 1556 50 3 72 15255.000000 1 0 3 0 4 0 4 3 3 0 0 5 3 1917 1950 1 0 11 13 3 4 0 2 0 3 5 0 5 0 689 689.0 0 2 0 3 725 499 0.000000 1224 0 0 1 1 3 1 1 6 5 0 6 1 180.0 0 1 0 0.0 0 66 0.000000 0.000000 0 0 6
96 1557 190 3 60 9993.000000 1 3 3 0 4 0 18 3 3 1 0 5 4 1915 1950 1 0 11 14 1 1 0 3 3 3 4 1026 5 0 186 1212.0 0 4 0 3 1212 180 0.000000 1392 1 0 1 0 3 1 3 6 7 0 5 0 0.0 2 0 0 0.0 0 66 0.000000 0.000000 0 3 6
97 1558 50 3 65 5651.000000 1 0 0 0 4 1 18 3 3 0 0 6 5 1940 1950 1 0 10 12 3 4 1 1 3 3 3 368 5 0 232 600.0 0 0 0 3 600 319 0.000000 919 0 0 1 0 3 1 3 5 7 0 6 1 231.0 3 4 2 0.0 0 45 0.000000 0.000000 0 8 6
98 1559 70 0 68 16027.000000 1 0 3 0 4 0 18 3 3 0 4 4 1 1907 1950 2 0 11 11 3 4 1 3 3 3 4 73 5 0 634 707.0 1 4 0 3 942 942 0.000000 1884 0 0 1 1 4 1 3 7 7 0 5 0 0.0 2 0 0 0.0 0 66 0.000000 0.000000 0 8 1
99 1560 190 2 60 10091.000000 1 3 3 0 0 0 18 0 3 1 0 5 7 1910 1950 1 0 11 13 3 2 0 3 3 2 3 736 5 0 120 856.0 0 2 1 3 936 744 0.000000 1680 1 0 2 0 2 2 3 7 7 1 6 2 450.0 3 1 1 56.0 144 0 0.000000 0.000000 0 0 6
100 1561 90 3 72 6250.000000 1 3 3 0 4 0 19 3 3 2 2 4 3 1967 1967 1 1 8 9 1 1 1 3 3 3 0 704 5 0 1128 1832.0 0 4 0 3 1832 0 0.000000 1832 2 0 2 0 4 2 3 8 7 0 5 0 0.0 2 0 2 0.0 58 0 0.000000 0.000000 0 8 6
101 1562 20 3 65 13418.000000 1 3 3 0 4 0 19 3 3 0 2 5 7 1966 2008 3 0 6 6 3 4 1 3 3 2 1 240 4 430 150 864.0 0 0 1 3 892 0 0.000000 892 1 0 1 0 3 1 2 5 7 0 6 1 416.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
102 1563 20 3 65 5080.000000 1 3 3 0 4 0 19 3 3 0 2 5 5 1968 1968 3 0 6 6 3 4 1 3 3 3 2 775 5 0 89 864.0 0 0 1 3 864 0 0.000000 864 1 0 1 0 2 1 3 4 7 0 6 1 280.0 3 4 2 226.0 0 0 0.000000 0.000000 0 8 6
103 1564 90 3 68 15714.000000 1 0 3 0 4 0 19 3 3 2 5 5 5 1978 1978 1 0 8 9 3 4 1 2 3 0 2 1319 5 0 0 1319.0 0 4 1 3 1373 0 0.000000 1373 1 0 1 0 3 1 3 5 7 2 2 2 591.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
104 1565 60 3 86 6086.000000 1 3 3 0 4 0 19 3 3 0 4 5 5 1968 1968 1 0 6 6 3 2 1 3 1 3 4 267 0 430 0 720.0 0 0 1 3 720 720 0.000000 1440 0 0 1 1 4 1 3 7 7 2 2 2 480.0 3 4 2 192.0 38 0 0.000000 0.000000 0 8 6
105 1566 20 3 68 1418.000000 1 0 2 0 4 1 4 3 3 0 2 7 7 1977 2001 3 0 11 13 2 2 1 2 3 1 0 1092 5 0 328 1420.0 0 2 1 3 1483 0 0.000000 1483 1 0 1 1 1 1 3 4 7 2 2 2 690.0 3 4 2 496.0 0 0 0.000000 0.000000 0 8 6
106 1567 30 3 94 7345.000000 1 3 3 0 0 0 19 1 3 0 2 4 4 1927 1950 1 0 11 13 3 4 0 1 3 3 5 0 5 0 660 660.0 0 4 0 3 756 0 0.000000 756 0 0 1 0 2 1 3 4 7 0 6 2 440.0 3 4 0 80.0 0 0 0.000000 0.000000 0 8 6
107 1568 60 3 68 8806.000000 1 0 2 0 1 1 4 3 3 0 4 6 5 1978 1992 1 0 10 12 3 4 2 2 3 0 0 964 5 0 153 1117.0 0 0 1 3 1117 864 0.000000 1981 1 0 2 1 4 1 2 8 7 1 2 2 522.0 3 4 2 336.0 104 0 0.000000 0.000000 0 8 6
108 1569 50 3 124 23706.000000 1 3 3 0 4 0 7 3 3 0 0 3 4 1938 1990 1 0 11 13 3 4 1 3 3 2 1 288 3 430 0 972.0 0 4 1 0 1052 558 0.000000 1610 0 1 2 0 4 1 1 8 7 1 2 1 480.0 3 4 2 0.0 0 60 0.000000 0.000000 0 8 6
109 1570 20 3 65 8946.000000 1 3 3 0 4 0 7 3 3 0 2 6 7 1950 1987 1 0 11 9 3 4 1 3 3 3 2 104 4 387 172 663.0 0 0 1 3 1074 0 0.000000 1074 1 0 1 0 3 1 2 6 7 1 2 1 467.0 3 4 2 0.0 52 52 0.000000 0.000000 0 8 6
110 1571 50 3 50 5977.000000 1 3 0 0 4 0 7 3 3 0 0 4 6 1947 1979 1 0 12 14 3 4 1 3 0 3 3 192 5 0 564 756.0 0 0 1 3 1169 0 62.304757 1531 0 0 1 0 3 1 3 8 7 1 6 1 209.0 0 4 2 0.0 0 0 0.000000 0.000000 0 8 6
111 1572 20 3 75 1363.000000 1 3 3 0 4 0 7 3 3 0 2 5 7 1954 1998 1 0 12 14 3 4 1 3 3 0 1 954 5 0 218 1172.0 0 4 1 3 1172 0 0.000000 1172 1 0 1 0 3 1 3 5 7 0 2 1 366.0 3 4 2 240.0 0 0 0.000000 0.000000 0 8 6
112 1573 20 3 44 3898.000000 1 1 3 0 4 0 7 3 3 0 2 7 5 2009 2010 1 0 10 12 2 4 2 2 3 1 2 1346 5 0 162 1508.0 0 0 1 3 1508 0 0.000000 1508 1 0 1 0 1 1 2 5 7 2 2 2 572.0 3 4 2 0.0 0 0 0.000000 0.000000 0 2 7
113 1574 20 3 68 16052.000000 1 0 3 0 1 0 7 3 3 0 2 5 3 1964 1964 1 0 11 13 3 1 1 3 3 2 5 0 5 0 1250 1250.0 0 0 1 3 1298 0 0.000000 1298 0 0 2 0 3 1 3 5 7 0 6 2 504.0 3 1 0 0.0 144 0 0.000000 0.000000 0 0 6
114 1575 20 3 83 3268.000000 1 3 2 0 4 1 20 3 3 0 2 7 5 1987 1987 1 0 8 9 2 4 1 2 3 1 2 1433 5 0 0 1433.0 0 0 1 3 1433 0 0.000000 1433 1 0 1 1 1 1 2 4 7 2 2 2 528.0 1 2 2 0.0 278 0 0.000000 153.453113 0 8 6
115 1576 60 3 87 9259.000000 1 0 3 0 1 0 20 3 3 0 4 6 7 1993 1993 1 0 10 12 2 2 2 2 3 3 2 860 5 0 86 946.0 0 0 1 3 964 838 0.000000 1802 0 1 2 1 3 1 2 8 7 1 0 4 1017.0 3 4 2 450.0 92 0 0.000000 0.000000 0 8 6
117 1578 50 3 82 13132.000000 1 0 3 0 4 0 20 3 3 0 0 6 8 1900 1993 1 0 11 9 3 4 2 1 1 3 5 0 5 0 676 676.0 0 4 1 3 831 614 0.000000 1445 0 0 2 0 3 1 3 6 7 0 6 2 484.0 3 4 0 0.0 59 0 0.000000 0.000000 0 8 6
118 1579 85 3 82 9462.000000 1 3 3 0 0 0 5 3 3 0 5 5 5 1996 1996 1 0 10 12 3 2 2 2 0 0 2 870 5 0 0 870.0 0 2 1 3 965 0 0.000000 965 1 0 1 0 2 1 3 4 7 0 2 2 580.0 1 4 2 71.0 0 0 0.000000 0.000000 0 8 6
120 1581 20 3 38 15092.000000 1 0 3 0 2 0 5 3 3 0 2 5 8 1977 2004 1 0 5 5 2 2 1 2 3 3 2 198 4 430 140 1026.0 0 0 1 3 1026 0 0.000000 1026 1 0 1 1 3 1 3 5 7 0 2 1 308.0 3 4 2 316.0 85 0 0.000000 0.000000 0 8 6
121 1582 20 3 68 16314.000000 1 3 3 0 4 0 5 3 3 0 2 5 6 1972 1972 1 0 11 13 3 4 1 3 3 0 0 480 5 0 396 876.0 0 4 1 3 876 0 0.000000 876 1 0 1 0 3 1 3 5 7 0 6 2 484.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
122 1583 20 3 80 9263.000000 1 3 3 0 4 0 5 3 3 0 2 8 5 2003 2003 3 0 5 5 2 4 2 2 3 3 2 1682 5 0 296 1978.0 0 0 1 3 1978 0 0.000000 1978 1 0 2 1 3 1 2 8 7 1 2 3 850.0 3 4 2 188.0 25 0 0.000000 0.000000 0 8 6
124 1585 120 4 68 13396.000000 1 3 3 0 4 0 5 2 2 4 2 6 5 2003 2003 1 0 10 12 2 4 2 2 3 0 2 672 5 0 176 848.0 0 0 1 3 848 0 0.000000 848 1 0 1 0 1 1 2 4 7 0 2 2 420.0 3 4 2 140.0 0 0 0.000000 0.000000 0 8 5
125 1586 30 3 67 14557.000000 1 3 3 0 4 1 7 1 3 0 2 3 6 1945 2007 1 0 10 12 3 2 1 1 2 2 3 0 2 0 0 0.0 0 4 0 3 640 0 0.000000 640 0 0 1 0 2 1 3 5 0 0 6 1 240.0 3 4 0 0.0 0 0 0.000000 0.000000 0 3 6
126 1587 20 3 68 9557.000000 1 3 3 0 0 0 7 3 3 0 2 5 6 1954 1954 1 0 10 12 3 2 1 1 3 3 5 0 5 0 381 381.0 0 0 1 3 992 0 0.000000 992 0 0 1 0 3 1 3 6 7 0 6 1 319.0 3 4 2 60.0 0 56 0.000000 0.000000 0 7 1
127 1588 20 3 60 12456.000000 1 0 2 0 1 0 7 3 3 0 2 5 6 1968 1968 1 0 7 8 3 4 1 2 3 1 0 1070 5 0 126 1196.0 0 4 1 3 1196 0 0.000000 1196 1 0 1 0 3 1 3 6 7 0 2 1 336.0 3 4 2 257.0 0 66 0.000000 0.000000 0 8 6
128 1589 50 3 89 6295.000000 1 3 3 0 4 0 7 3 3 0 0 4 5 1948 1950 1 0 10 12 3 4 1 3 3 3 5 0 5 0 744 744.0 0 0 0 1 792 328 0.000000 1120 0 0 1 0 2 1 1 5 7 0 6 2 480.0 3 1 1 0.0 0 0 0.000000 153.453113 0 8 1
129 1590 80 3 65 5614.000000 1 3 3 0 4 0 7 3 3 0 6 6 6 1975 1975 1 0 8 9 3 4 1 3 3 0 0 528 5 0 480 1008.0 0 4 1 3 1096 0 0.000000 1096 1 0 1 0 3 1 3 5 7 1 6 1 352.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
130 1591 20 3 64 5714.000000 1 3 1 0 4 0 7 3 3 0 2 4 5 1958 1958 3 0 12 14 3 4 1 3 3 3 5 0 5 0 960 960.0 0 0 1 3 960 0 0.000000 960 0 0 1 0 3 1 3 5 7 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 6
131 1592 30 3 67 21918.000000 1 3 0 0 4 0 18 0 3 0 2 5 6 1924 1999 1 0 7 12 3 4 0 3 3 2 4 133 5 0 974 1107.0 0 1 0 0 1296 0 0.000000 1296 0 0 2 0 2 1 1 5 7 1 6 1 260.0 3 4 2 0.0 0 36 0.000000 0.000000 0 8 6
132 1593 30 3 68 12031.000000 1 3 3 0 0 0 18 3 3 0 2 6 6 1939 1950 1 0 11 13 3 4 1 3 3 3 4 238 5 0 618 856.0 0 4 1 3 856 0 0.000000 856 1 0 1 0 2 1 3 4 7 1 6 2 399.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
133 1594 90 2 60 4169.000000 1 3 3 0 4 0 18 3 3 2 4 4 6 1967 1967 0 1 8 4 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 1 3 862 1703 0.000000 2650 0 0 3 0 6 2 3 10 1 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 6
134 1595 50 3 51 -1614.000000 1 3 3 0 4 0 18 1 3 0 0 5 2 1931 1950 1 0 10 12 3 4 2 3 0 3 5 0 5 0 894 894.0 0 0 1 3 894 772 0.000000 1666 1 0 1 0 3 1 3 7 7 1 5 0 0.0 2 0 0 0.0 156 0 0.000000 0.000000 0 8 6
135 1596 50 3 78 2817.000000 1 0 3 0 4 0 6 3 3 0 0 7 6 1941 1985 1 0 11 13 2 2 0 2 3 3 0 426 1 252 850 1528.0 0 0 1 3 1225 908 0.000000 2133 1 0 1 1 4 1 3 8 7 2 2 1 312.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
136 1597 90 3 78 9249.000000 1 3 3 0 4 0 6 3 3 2 4 5 6 1950 1991 1 0 10 12 3 2 1 3 3 3 0 375 5 0 657 1032.0 0 0 1 3 1102 1075 0.000000 2177 0 0 2 1 5 2 3 11 7 0 6 2 484.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
138 1599 120 4 35 7425.000000 1 0 1 0 4 1 1 2 2 4 2 8 6 1989 1989 1 0 6 6 2 4 1 2 3 1 2 747 5 0 235 982.0 0 2 1 3 1034 0 0.000000 1034 1 0 1 0 1 1 2 4 7 1 2 2 598.0 3 4 2 141.0 36 0 0.000000 0.000000 0 8 5
139 1600 120 4 35 14449.000000 1 0 1 0 4 1 1 2 2 4 2 8 5 1989 1989 1 0 6 6 2 4 1 2 3 0 2 76 5 0 1115 1191.0 0 2 1 3 1191 0 0.000000 1191 0 0 2 0 2 1 2 5 7 1 2 2 531.0 3 4 2 112.0 81 0 0.000000 0.000000 0 8 5
140 1601 30 4 58 17303.000000 1 3 3 0 4 0 9 2 2 0 2 2 5 1941 1950 1 0 11 13 3 4 0 3 3 3 1 480 5 0 0 480.0 0 4 1 3 540 0 0.000000 540 0 0 1 0 1 1 3 4 7 0 6 1 200.0 0 1 0 0.0 0 0 0.000000 0.000000 0 5 5
141 1602 50 4 50 11410.000000 1 3 1 0 4 0 9 2 2 0 0 6 5 1921 1975 1 0 11 13 3 4 0 3 3 2 1 308 5 0 321 629.0 0 1 1 3 727 380 0.000000 1107 0 0 1 0 2 1 3 5 7 0 6 1 625.0 3 4 2 0.0 56 0 0.000000 153.453113 0 0 5
142 1603 30 0 66 13348.000000 0 3 3 0 0 0 9 3 3 0 2 4 7 1896 1950 3 0 11 13 1 1 1 3 3 3 5 0 5 0 756 756.0 0 2 1 3 952 0 0.000000 952 0 0 1 0 3 1 3 5 7 0 6 1 330.0 3 4 0 0.0 0 66 0.000000 0.000000 0 8 3
143 1604 120 4 44 6349.000000 1 0 1 0 0 1 6 0 2 4 2 8 5 2004 2005 3 0 5 5 2 4 2 0 3 1 2 1373 5 0 221 1594.0 0 0 1 3 1646 0 0.000000 1646 1 1 2 0 2 1 2 5 7 1 2 2 525.0 3 4 2 128.0 53 0 0.000000 153.453113 0 8 5
145 1606 80 3 74 2815.000000 1 3 3 0 4 0 11 3 3 0 6 6 7 1977 1977 1 0 8 9 3 4 1 3 3 3 0 679 5 0 564 1243.0 0 4 1 3 1285 0 0.000000 1285 0 1 2 0 3 1 2 6 7 1 2 2 473.0 3 4 2 375.0 26 0 0.000000 0.000000 0 8 6
146 1607 90 3 68 87.000000 1 0 3 0 4 0 11 3 3 2 2 6 5 1976 1976 1 0 8 9 3 4 1 3 3 3 5 0 5 0 1958 1958.0 0 4 1 3 2048 0 0.000000 2048 0 0 3 0 5 2 3 9 7 0 0 2 776.0 3 4 2 0.0 0 0 0.000000 0.000000 0 3 6
148 1609 20 3 73 14732.000000 1 3 3 0 4 0 23 3 3 0 2 7 5 2009 2010 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1214 1214.0 0 0 1 3 1214 0 0.000000 1214 0 0 2 0 2 1 2 6 7 0 2 2 520.0 3 4 2 0.0 25 0 0.000000 0.000000 0 6 7
150 1611 20 3 85 14336.000000 1 3 0 0 4 0 11 3 3 0 2 5 5 1965 1977 3 0 8 6 3 4 1 3 3 3 4 42 5 0 1026 1068.0 0 4 1 3 1264 0 0.000000 1264 1 0 1 0 2 1 3 7 7 1 2 2 528.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
151 1612 20 3 93 9043.000000 1 3 3 0 4 0 11 3 3 0 2 5 5 2004 2005 1 0 10 12 3 4 2 0 3 0 5 0 5 0 1430 1430.0 0 0 1 3 1430 0 0.000000 1430 0 0 2 0 3 1 2 7 7 0 2 2 624.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
153 1614 120 4 31 14145.000000 1 3 2 0 4 1 10 2 2 3 2 5 6 1973 1973 1 0 5 5 3 4 1 2 3 1 2 915 5 0 30 945.0 0 0 1 3 945 0 0.000000 945 1 1 1 0 2 1 3 5 7 1 2 1 253.0 3 4 2 174.0 0 56 0.000000 108.000000 0 8 5
154 1615 160 4 21 2922.000000 1 3 3 0 4 0 10 2 2 3 4 4 7 1970 1970 1 0 5 5 3 4 1 3 3 3 2 176 5 0 370 546.0 0 0 1 3 546 546 0.000000 1092 0 0 1 1 3 1 3 5 7 0 5 0 0.0 2 0 2 200.0 26 0 0.000000 0.000000 0 8 5
155 1616 160 4 21 11009.000000 1 3 3 0 4 0 10 2 2 4 4 4 4 1970 1970 1 0 5 5 3 4 1 3 3 3 5 0 5 0 546 546.0 0 0 1 3 546 546 0.000000 1092 0 0 1 1 3 1 3 5 7 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 5
156 1617 160 4 21 11026.000000 1 3 3 0 4 0 10 2 2 4 4 4 6 1972 1972 1 0 5 5 3 4 1 3 3 3 4 294 5 0 252 546.0 0 4 1 3 546 546 0.000000 1092 0 0 1 1 3 1 3 5 7 0 2 1 286.0 3 4 2 0.0 0 64 0.000000 0.000000 0 8 5
157 1618 20 3 50 5753.000000 1 3 3 0 4 0 11 3 3 0 2 5 7 1971 2004 1 0 10 12 3 2 1 3 3 3 0 469 5 0 395 864.0 0 0 1 3 874 0 0.000000 874 0 0 1 0 3 1 3 5 7 0 6 1 352.0 3 4 2 0.0 0 0 0.000000 0.000000 0 3 6
158 1619 20 3 76 15099.000000 1 3 3 0 4 0 11 3 3 0 2 5 7 1984 1984 1 0 10 12 3 4 1 2 3 2 4 207 2 430 36 833.0 0 4 1 3 833 0 0.000000 833 1 0 1 0 2 1 2 5 7 0 2 2 495.0 3 4 2 431.0 0 0 0.000000 0.000000 0 8 6
159 1620 90 3 70 12863.000000 1 3 3 0 4 0 11 3 3 2 4 5 2 1985 1986 1 0 6 6 3 3 2 3 3 3 5 0 5 0 1216 1216.0 0 2 1 3 1216 1216 0.000000 2432 0 0 4 2 4 2 3 10 7 0 2 2 616.0 3 1 2 200.0 0 0 0.000000 0.000000 0 8 6
161 1622 50 3 68 14339.000000 1 0 3 0 4 1 11 3 3 0 0 5 5 1969 1969 1 0 6 6 3 4 1 3 3 0 1 476 5 0 388 864.0 0 4 1 3 864 615 0.000000 1479 0 0 2 0 5 1 3 8 7 0 2 1 275.0 3 4 2 287.0 0 66 0.000000 0.000000 0 8 6
162 1623 20 3 76 1137.000000 1 3 3 0 4 1 11 3 3 0 2 8 5 1994 1995 3 0 10 12 2 2 2 2 1 1 2 1341 3 284 54 1679.0 0 0 1 3 1803 0 0.000000 1803 1 1 2 1 3 1 2 6 7 2 2 2 482.0 3 4 2 129.0 64 66 0.000000 0.000000 0 8 6
163 1624 60 3 74 343.000000 1 3 3 0 4 0 11 3 3 0 4 6 5 1993 1994 1 0 10 12 2 2 2 2 3 2 2 944 5 0 208 1152.0 0 0 1 3 1152 645 0.000000 1797 1 0 2 1 3 1 2 7 7 1 2 2 616.0 3 4 2 162.0 311 0 0.000000 0.000000 0 8 6
164 1625 20 3 74 4728.000000 1 0 3 0 4 0 12 3 3 0 2 6 5 1956 1956 1 0 7 8 3 4 1 1 0 3 4 564 5 0 318 882.0 0 4 1 3 882 0 0.000000 882 0 0 1 0 2 1 3 5 7 0 2 1 502.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
165 1626 20 3 85 18044.000000 1 3 3 0 4 0 12 3 3 0 2 6 5 1974 1974 3 0 8 9 3 4 1 3 3 3 3 844 5 0 590 1434.0 0 4 1 3 1434 0 0.000000 1434 1 0 2 0 4 1 3 7 7 1 2 2 528.0 3 4 2 80.0 21 0 0.000000 0.000000 0 8 6
169 1630 120 3 28 7907.000000 1 0 3 0 1 0 22 3 3 4 2 8 5 2004 2005 1 0 5 5 2 4 2 0 3 0 2 1965 5 0 243 2208.0 0 0 1 3 2522 0 0.000000 2522 1 0 2 0 1 1 2 8 7 1 2 2 564.0 3 4 2 182.0 57 0 0.000000 0.000000 0 8 6
170 1631 120 3 61 6452.000000 1 0 3 0 0 0 22 3 3 0 2 8 5 1998 1998 1 0 5 5 3 4 2 2 3 0 2 341 5 0 1077 1418.0 0 0 1 3 1478 0 0.000000 1478 1 0 2 0 2 1 3 5 7 0 2 2 495.0 3 4 2 168.0 43 0 0.000000 0.000000 0 8 6
171 1632 120 3 57 14384.000000 1 0 3 0 0 0 22 3 3 4 2 8 5 1995 1996 1 0 5 5 2 4 2 2 3 3 2 741 5 0 846 1587.0 0 0 1 3 1734 0 0.000000 1734 1 0 2 0 2 1 2 6 7 0 2 2 528.0 3 4 2 52.0 50 0 0.000000 0.000000 0 8 6
176 1637 60 3 85 9430.000000 1 3 3 0 4 0 8 3 3 0 4 5 6 1977 1977 1 0 6 13 3 4 2 2 3 3 0 400 5 0 722 1122.0 0 0 1 3 946 988 0.000000 1934 1 0 2 1 3 1 3 6 7 1 2 2 567.0 3 4 1 0.0 176 0 0.000000 153.453113 0 8 6
177 1638 60 3 68 10318.000000 1 0 3 0 4 0 14 9 3 0 4 7 6 1978 1978 1 0 6 6 3 4 1 2 3 3 5 0 5 0 832 832.0 0 4 1 3 1154 896 0.000000 2050 0 0 2 1 4 1 2 8 7 1 2 2 529.0 3 4 2 192.0 192 0 0.000000 0.000000 0 8 1
179 1640 60 3 68 10975.000000 1 0 3 0 4 0 14 3 3 0 4 7 7 1980 1991 1 0 8 9 3 4 1 2 3 3 0 602 5 0 441 1043.0 0 4 1 3 1539 1134 0.000000 2673 0 0 2 1 4 1 2 9 7 1 4 2 441.0 3 4 2 178.0 84 0 0.000000 0.000000 0 8 6
181 1642 60 1 70 4787.000000 1 3 3 0 4 0 21 3 3 0 4 7 5 2003 2003 1 0 5 5 2 4 2 2 3 2 2 622 5 0 304 926.0 0 0 1 3 1016 868 0.000000 1884 1 0 2 1 3 1 0 7 7 1 2 2 581.0 3 4 2 0.0 35 0 0.000000 0.000000 0 8 6
182 1643 60 1 68 12718.000000 1 3 3 0 4 0 21 9 3 0 4 8 5 2000 2001 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1058 1058.0 0 0 1 3 1058 816 0.000000 1874 0 0 2 1 3 1 2 7 7 1 2 2 588.0 3 4 2 0.0 134 0 0.000000 0.000000 0 8 6
183 1644 60 1 68 10565.000000 1 3 3 0 0 0 21 3 3 0 4 8 5 2002 2002 1 0 10 12 2 4 2 2 3 3 2 225 0 276 471 972.0 0 0 1 3 972 839 0.000000 1811 0 0 2 1 3 1 2 7 7 1 2 2 565.0 3 4 2 225.0 48 0 0.000000 0.000000 0 8 6
184 1645 20 3 68 19781.000000 1 0 3 0 1 0 14 5 3 0 2 5 7 1975 1975 1 0 6 6 3 4 1 2 3 0 0 1333 3 168 120 1621.0 0 4 1 3 1621 0 0.000000 1621 1 0 2 0 3 1 3 7 7 2 2 2 478.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
185 1646 20 3 78 12746.000000 1 3 3 0 4 0 14 3 3 0 2 6 6 1974 1974 3 0 8 9 3 4 1 3 3 3 0 888 5 0 228 1116.0 0 0 1 3 1116 0 0.000000 1116 1 0 2 0 3 1 3 6 7 1 2 2 528.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
187 1648 20 3 68 15453.000000 1 0 3 0 4 0 12 3 3 0 2 5 5 1970 1970 1 0 6 6 3 4 1 3 3 3 5 0 5 0 1180 1180.0 0 4 1 3 1180 0 0.000000 1180 0 0 1 1 2 1 3 6 7 0 2 2 477.0 3 4 2 0.0 45 0 0.000000 0.000000 0 0 6
189 1650 20 3 60 17164.000000 1 3 3 0 4 0 12 3 3 0 2 4 6 1970 1970 1 0 10 12 3 4 1 3 3 3 0 726 5 0 138 864.0 0 4 1 3 864 0 0.000000 864 1 0 1 0 3 1 3 5 7 0 6 2 576.0 3 4 2 210.0 0 0 0.000000 0.000000 0 8 1
190 1651 20 3 60 8570.000000 1 3 3 0 2 0 12 3 3 0 2 4 7 1971 2006 1 0 10 12 3 2 1 3 3 3 0 240 5 0 624 864.0 0 2 1 3 864 0 0.000000 864 0 0 1 0 3 1 3 5 7 0 6 2 576.0 3 4 2 200.0 0 0 0.000000 0.000000 0 8 6
191 1652 160 4 21 7453.000000 1 3 3 0 4 0 2 2 2 3 4 6 5 1973 1973 1 0 6 6 3 4 1 3 3 3 1 254 5 0 229 483.0 0 4 1 3 483 504 0.000000 987 1 0 1 1 2 1 3 5 7 0 6 1 264.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
192 1653 160 4 21 5402.000000 1 3 3 0 4 0 2 2 2 3 4 6 6 1972 1972 1 0 6 6 3 4 1 3 3 3 4 110 3 294 79 483.0 0 4 1 3 483 504 0.000000 987 1 0 1 1 2 1 3 5 7 0 6 1 288.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
193 1654 160 3 24 11782.000000 1 3 3 0 2 0 13 3 3 4 4 6 5 1976 1976 1 0 8 2 3 4 1 2 3 3 0 306 5 0 498 804.0 0 4 1 3 804 744 0.000000 1548 0 0 2 1 3 1 3 7 7 1 6 2 440.0 3 4 2 108.0 0 0 0.000000 0.000000 0 8 6
194 1655 120 3 24 11290.000000 1 3 3 0 2 0 13 3 3 3 2 7 5 1975 1975 1 0 8 2 3 4 1 2 3 3 0 435 3 430 0 1057.0 0 4 1 3 1055 0 0.000000 1055 0 1 2 0 2 1 3 4 7 1 2 2 440.0 3 4 2 0.0 27 0 0.000000 0.000000 0 8 6
195 1656 160 3 24 8919.000000 1 3 3 0 4 0 13 3 3 3 4 6 5 1977 1977 1 0 8 2 3 4 1 2 3 3 0 389 5 0 466 855.0 0 4 1 3 855 601 0.000000 1456 0 0 2 1 3 1 3 6 7 1 2 2 440.0 3 4 2 0.0 28 0 0.000000 0.000000 0 8 6
196 1657 160 3 24 18412.000000 1 3 3 0 4 0 13 3 3 4 4 6 5 1978 1978 1 0 8 2 3 4 1 2 3 3 0 320 5 0 484 804.0 0 4 1 3 804 744 0.000000 1548 0 1 2 1 3 1 3 7 7 1 6 2 440.0 3 4 2 108.0 0 0 0.000000 0.000000 0 8 6
197 1658 160 3 24 10544.000000 1 3 3 0 4 0 13 3 3 4 4 6 5 1978 1978 1 0 8 2 2 4 1 2 3 3 0 279 5 0 576 855.0 0 4 1 3 855 601 0.000000 1456 0 0 2 1 3 1 3 6 7 1 2 2 440.0 3 4 2 147.0 0 0 0.000000 0.000000 0 8 6
198 1659 120 3 24 5608.000000 1 3 3 0 4 0 13 3 3 4 2 7 6 1976 1976 1 0 8 2 3 4 1 3 3 3 0 536 5 0 300 836.0 0 4 1 3 836 0 0.000000 836 0 1 1 0 2 1 3 5 7 0 2 1 345.0 3 4 2 150.0 20 0 0.000000 0.000000 0 8 6
199 1660 20 3 68 11451.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1966 2004 3 0 6 6 2 4 2 3 3 3 1 644 5 0 220 864.0 0 0 1 3 1120 0 0.000000 1120 0 1 1 0 3 1 3 5 7 1 2 2 656.0 3 4 2 0.0 162 0 0.000000 0.000000 0 8 6
200 1661 60 3 110 6767.000000 1 3 3 0 4 0 16 5 3 0 4 9 5 2007 2007 3 0 10 12 0 4 2 0 3 3 2 1360 5 0 416 1776.0 0 0 1 3 1794 978 0.000000 2772 1 0 3 1 4 1 0 10 7 3 4 3 754.0 3 4 2 135.0 64 0 0.000000 0.000000 0 8 6
201 1662 60 3 95 8457.000000 1 3 3 0 4 0 16 3 3 0 4 9 5 2009 2009 1 0 10 12 2 4 2 0 3 3 2 986 5 0 379 1365.0 0 0 1 3 1365 1325 0.000000 2690 1 0 2 1 3 1 0 8 7 1 2 3 864.0 3 4 2 0.0 197 0 0.000000 0.000000 0 6 7
202 1663 20 3 95 4104.000000 1 3 3 0 4 0 16 3 3 0 2 9 5 2008 2008 3 0 10 12 0 4 2 0 3 0 2 1232 5 0 788 2020.0 0 0 1 3 2020 0 0.000000 2020 1 0 2 0 3 1 0 7 7 1 2 3 896.0 3 4 2 192.0 98 0 0.000000 0.000000 0 8 6
203 1664 20 3 105 1075.000000 1 3 3 0 4 0 16 4 4 0 2 10 5 2007 2007 3 0 10 12 0 4 2 0 3 1 2 2288 5 0 342 2630.0 0 0 1 3 2674 0 0.000000 2674 2 0 2 1 2 1 0 8 7 2 2 3 762.0 3 4 2 360.0 50 0 0.000000 0.000000 0 8 6
204 1665 20 3 95 4723.000000 1 3 3 0 4 0 16 3 3 0 2 9 5 2008 2008 1 0 10 12 0 4 2 0 3 3 5 0 5 0 1736 1736.0 0 0 1 3 1736 0 0.000000 1736 0 0 2 0 3 1 0 7 7 1 2 3 834.0 3 4 2 319.0 90 0 0.000000 0.000000 0 8 6
205 1666 20 3 129 13865.000000 1 0 3 0 3 0 16 3 3 0 2 8 5 2004 2005 3 0 10 12 2 4 2 0 3 1 2 1531 5 0 251 1782.0 0 0 1 3 1782 0 0.000000 1782 1 0 2 0 3 1 2 7 7 2 2 3 932.0 3 4 2 99.0 82 0 0.000000 0.000000 0 8 6
206 1667 60 3 59 14646.000000 1 2 3 0 1 0 16 3 3 0 4 8 5 2007 2007 1 0 10 12 2 4 2 0 3 0 2 1230 5 0 278 1508.0 0 0 1 3 1508 1012 0.000000 2520 1 0 2 1 5 1 0 10 7 1 4 3 640.0 3 4 2 192.0 273 0 0.000000 0.000000 0 8 4
207 1668 20 3 87 7864.000000 1 0 3 0 4 0 16 3 3 0 2 9 5 2008 2008 3 0 10 12 0 4 2 0 3 2 2 1015 5 0 724 1739.0 0 0 1 3 1743 0 0.000000 1743 1 0 2 0 3 1 0 8 7 1 2 3 927.0 3 4 2 168.0 45 0 0.000000 0.000000 0 4 6
208 1669 20 3 77 6239.000000 1 0 3 0 4 0 16 3 3 0 2 9 5 2006 2006 1 0 10 12 2 4 2 0 1 0 2 1037 5 0 467 1504.0 0 0 1 3 1531 0 0.000000 1531 1 0 2 0 2 1 0 6 7 1 2 3 700.0 3 4 2 184.0 52 0 0.000000 0.000000 0 8 6
209 1670 20 3 102 14332.000000 1 0 3 0 0 0 16 3 3 0 2 9 5 2008 2008 3 0 10 12 0 4 2 0 3 3 2 1142 5 0 632 1774.0 0 0 1 3 1808 0 0.000000 1808 1 0 2 0 3 1 0 7 7 1 2 3 850.0 3 4 2 200.0 26 0 0.000000 0.000000 0 8 6
210 1671 20 3 90 11173.000000 1 0 3 0 0 0 16 3 3 0 2 7 5 2003 2004 3 0 10 12 2 4 2 2 3 3 0 1262 5 0 498 1760.0 0 0 1 3 1760 0 0.000000 1760 1 0 2 0 3 1 2 8 7 1 2 2 583.0 3 4 2 165.0 190 0 0.000000 0.000000 0 8 6
211 1672 20 3 110 1686.000000 1 0 3 0 0 0 16 3 3 0 2 9 5 2003 2003 3 0 10 12 2 4 2 0 3 3 2 1972 5 0 480 2452.0 0 0 1 3 2452 0 0.000000 2452 2 0 2 0 3 1 0 10 7 1 2 3 886.0 3 4 2 0.0 116 0 0.000000 0.000000 0 8 6
214 1675 120 3 47 6025.000000 1 0 3 0 4 0 16 3 3 4 2 6 5 2005 2005 1 0 10 12 2 4 2 2 3 0 0 836 5 0 522 1358.0 0 0 1 3 1358 0 0.000000 1358 0 0 2 0 2 1 2 6 7 1 2 2 484.0 3 4 2 192.0 36 0 0.000000 0.000000 0 8 6
215 1676 120 3 34 18505.000000 1 0 3 0 4 0 16 3 3 3 2 6 5 2005 2005 1 0 10 12 2 4 2 2 3 0 2 881 5 0 425 1306.0 0 0 1 3 1306 0 0.000000 1306 1 0 2 0 1 1 2 5 7 1 2 2 624.0 3 4 2 170.0 63 0 0.000000 0.000000 0 8 6
216 1677 120 3 80 6033.000000 1 0 3 0 4 0 16 3 3 4 2 7 5 2007 2008 1 0 10 12 2 4 2 2 3 3 2 876 5 0 474 1350.0 0 0 1 3 1358 0 0.000000 1358 1 0 2 0 2 1 2 6 7 1 2 2 484.0 3 4 2 192.0 26 0 0.000000 0.000000 0 8 6
217 1678 20 3 100 16354.000000 1 0 1 0 4 1 16 3 3 0 2 10 5 2004 2005 3 0 5 5 0 4 2 0 3 1 2 2146 5 0 346 2492.0 0 0 1 3 2492 0 0.000000 2492 1 0 2 1 2 1 0 8 7 1 2 3 949.0 3 4 2 226.0 235 0 0.000000 0.000000 0 8 1
218 1679 20 3 117 11676.000000 1 0 3 0 0 0 16 3 3 0 2 8 5 2003 2004 3 0 10 12 2 4 2 0 3 1 2 1557 5 0 643 2200.0 0 0 1 3 2200 0 0.000000 2200 1 0 2 1 3 1 0 8 7 1 2 3 685.0 3 4 2 208.0 55 0 0.000000 0.000000 0 8 6
219 1680 120 3 44 9574.000000 1 0 3 0 4 0 16 3 3 4 2 9 5 2008 2009 3 0 7 8 0 4 2 0 3 3 2 800 5 0 1084 1884.0 0 0 1 3 1884 0 0.000000 1884 1 0 2 0 2 1 0 6 7 1 2 2 649.0 3 4 2 231.0 90 0 0.000000 0.000000 0 6 7
220 1681 120 3 48 5141.000000 1 3 3 0 4 0 16 3 3 4 2 9 5 2008 2008 3 0 10 12 0 4 2 0 3 3 5 0 5 0 1451 1451.0 0 0 1 3 1456 0 0.000000 1456 0 0 2 0 2 1 0 6 7 1 2 2 539.0 3 4 2 192.0 42 0 0.000000 0.000000 0 8 6
221 1682 20 3 129 5064.000000 1 3 3 0 0 0 16 3 3 0 2 8 5 2002 2003 3 0 10 12 2 4 2 0 3 1 2 1196 5 0 516 1712.0 0 0 1 3 1712 0 0.000000 1712 1 0 2 0 3 1 2 8 7 1 2 3 701.0 3 4 2 218.0 183 0 0.000000 0.000000 0 8 6
222 1683 120 3 48 12758.000000 1 3 3 0 4 0 16 3 3 4 2 7 5 2003 2003 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1405 1405.0 0 0 1 3 1405 0 0.000000 1405 0 0 2 0 2 1 2 6 7 1 2 2 478.0 3 4 2 148.0 36 0 0.000000 0.000000 0 8 6
223 1684 60 3 63 3619.000000 1 3 3 0 4 0 8 7 3 0 4 7 5 2005 2005 1 0 10 12 2 4 2 2 1 3 5 0 5 0 728 728.0 0 0 1 3 728 728 0.000000 1456 0 0 2 1 3 1 2 8 7 1 2 2 390.0 3 4 2 100.0 0 0 0.000000 0.000000 0 8 6
224 1685 60 3 57 17669.000000 1 0 3 0 4 0 8 3 3 0 4 6 5 2005 2006 1 0 10 12 2 4 2 2 3 0 5 0 5 0 745 745.0 0 0 1 3 745 745 0.000000 1490 0 0 2 1 3 1 2 7 7 1 2 2 392.0 3 4 2 36.0 20 0 0.000000 0.000000 0 8 6
225 1686 120 3 43 13706.000000 1 3 3 0 4 0 0 3 3 4 2 7 5 2005 2006 1 0 10 12 2 4 2 2 3 0 2 16 5 0 1204 1220.0 0 0 1 3 1220 0 0.000000 1220 0 0 2 0 2 1 2 5 7 1 2 2 397.0 3 4 2 100.0 16 0 0.000000 0.000000 0 8 6
231 1692 60 3 68 15812.000000 1 0 3 0 0 0 8 3 3 0 4 8 5 2002 2002 1 0 10 12 2 4 2 0 3 3 2 651 5 0 219 870.0 0 0 1 3 878 1126 0.000000 2004 1 0 2 1 4 1 2 8 7 1 4 3 644.0 3 4 2 0.0 48 0 0.000000 0.000000 0 8 6
232 1693 80 3 61 6124.000000 1 0 3 0 4 0 8 7 3 0 6 7 5 2004 2004 1 0 10 12 2 4 2 2 3 2 2 241 4 113 30 384.0 0 0 1 3 744 630 0.000000 1374 0 0 2 1 3 1 2 7 7 0 4 2 400.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
235 1696 60 3 68 18251.000000 1 1 3 0 1 0 8 9 3 0 4 7 5 1999 1999 1 0 10 12 2 4 2 2 3 3 0 913 5 0 264 1177.0 0 0 1 3 1223 1089 0.000000 2312 1 0 2 1 4 1 2 8 7 1 4 3 658.0 3 4 2 298.0 0 0 0.000000 0.000000 0 8 6
237 1698 60 3 106 11107.000000 1 3 3 0 4 0 15 3 3 0 4 8 5 2000 2000 1 0 10 12 2 4 2 2 3 2 2 1173 5 0 282 1455.0 0 0 1 3 1466 1221 0.000000 2687 1 0 2 1 4 1 2 10 7 2 4 3 810.0 3 4 2 252.0 30 0 0.000000 0.000000 0 8 6
238 1699 20 3 68 2131.000000 1 0 3 0 1 0 15 3 3 0 2 8 5 1994 1995 3 0 11 13 2 4 2 2 3 0 1 236 2 430 262 2024.0 0 0 1 3 2063 0 0.000000 2063 1 0 2 0 3 1 2 7 7 2 2 3 815.0 3 4 2 182.0 56 0 0.000000 0.000000 0 8 6
239 1700 60 3 79 6177.000000 1 3 3 0 4 0 15 3 3 0 4 7 5 1995 1996 1 0 10 12 2 4 2 2 3 3 2 816 5 0 254 1070.0 0 0 1 3 1094 967 0.000000 2061 1 0 2 1 3 1 2 7 7 1 2 2 647.0 3 4 2 296.0 102 66 0.000000 0.000000 0 8 6
241 1702 20 3 86 9241.000000 1 0 3 0 4 0 21 5 3 0 2 8 5 2008 2008 1 0 10 12 2 4 2 2 3 2 5 0 5 0 1696 1696.0 0 0 1 3 1696 0 0.000000 1696 0 0 2 0 3 1 2 7 7 0 2 3 972.0 3 4 2 120.0 56 0 0.000000 0.000000 0 8 6
242 1703 20 3 78 9716.000000 1 3 3 0 4 0 21 5 3 0 2 8 5 2008 2008 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1614 1614.0 0 0 1 3 1658 0 0.000000 1658 0 0 2 1 3 1 2 7 7 1 2 3 726.0 3 4 2 144.0 44 0 0.000000 0.000000 0 8 6
243 1704 20 3 85 8839.000000 1 3 3 0 4 0 21 3 3 0 2 8 5 2007 2007 1 0 10 12 2 4 2 2 3 0 2 1294 5 0 408 1702.0 0 0 1 3 1702 0 0.000000 1702 1 0 2 0 3 1 2 7 7 1 2 3 844.0 3 4 2 0.0 69 0 0.000000 0.000000 0 8 6
244 1705 20 3 76 12745.000000 1 0 3 0 4 0 21 3 3 0 2 8 5 2006 2006 3 0 10 12 2 4 2 0 3 0 2 379 5 0 1043 1422.0 0 0 1 3 1432 0 0.000000 1432 0 0 2 0 3 1 2 7 7 1 2 2 492.0 3 4 2 297.0 50 0 0.000000 0.000000 0 8 6
245 1706 20 3 85 10525.000000 1 3 3 0 0 0 21 5 5 0 2 9 5 2005 2006 3 0 10 12 0 4 2 0 3 1 2 2158 5 0 300 2458.0 0 0 1 3 2490 0 0.000000 2490 1 0 2 0 2 1 0 9 7 2 2 3 795.0 3 4 2 70.0 226 0 0.000000 0.000000 0 8 6
246 1707 20 1 90 15083.000000 1 0 3 0 4 0 21 3 3 0 2 7 5 2008 2009 1 0 10 12 2 4 2 0 3 3 5 0 5 0 1436 1436.0 0 0 1 3 1436 0 0.000000 1436 0 0 2 0 3 1 2 6 7 0 2 2 529.0 3 4 2 0.0 121 0 0.000000 0.000000 0 6 7
247 1708 20 1 72 16148.000000 1 3 3 0 4 0 21 3 3 0 2 7 5 2008 2008 3 0 10 12 2 4 2 2 3 3 5 0 5 0 1402 1402.0 0 0 1 3 1402 0 0.000000 1402 0 0 2 0 3 1 2 7 7 0 2 2 625.0 3 4 2 205.0 126 0 0.000000 0.000000 0 8 6
248 1709 20 1 112 13001.000000 1 0 3 0 4 0 21 3 3 0 2 9 5 2007 2008 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1530 1530.0 0 0 1 3 1530 0 0.000000 1530 0 0 2 0 3 1 2 7 7 1 2 3 984.0 3 4 2 212.0 136 0 0.000000 0.000000 0 8 6
249 1710 20 1 75 11101.000000 1 3 3 0 4 0 21 3 3 0 2 8 5 2006 2007 1 0 10 12 2 4 2 2 3 3 2 24 5 0 1348 1372.0 0 0 1 3 1448 0 0.000000 1448 0 0 2 0 2 1 2 6 7 1 2 2 692.0 3 4 2 0.0 140 0 0.000000 0.000000 0 8 6
250 1711 60 1 84 14852.000000 1 3 3 0 4 0 21 3 3 0 4 8 5 2006 2006 3 0 10 12 2 4 2 0 1 3 2 682 5 0 218 900.0 0 0 1 3 909 886 0.000000 1795 1 0 2 1 3 1 2 8 7 1 2 3 782.0 3 4 2 168.0 45 0 0.000000 0.000000 0 8 6
251 1712 20 1 65 11068.000000 1 3 3 0 0 0 21 3 3 0 2 8 5 2008 2009 3 0 10 12 2 4 2 2 3 3 5 0 5 0 1836 1836.0 0 0 1 3 1836 0 0.000000 1836 0 0 2 0 3 1 2 8 7 1 2 2 517.0 3 4 2 0.0 175 0 0.000000 0.000000 0 6 7
252 1713 20 1 85 10522.000000 1 3 3 0 4 0 21 3 3 0 2 7 5 2006 2007 1 0 10 12 2 4 2 2 3 3 2 1430 5 0 222 1652.0 0 0 1 3 1662 0 0.000000 1662 1 0 2 0 3 1 0 8 7 1 2 3 711.0 3 4 2 168.0 120 0 0.000000 0.000000 0 8 6
253 1714 20 1 68 9782.000000 1 0 3 0 4 0 21 3 3 0 2 7 5 2003 2004 1 0 10 14 2 4 2 2 3 3 2 771 0 360 422 1553.0 0 0 1 3 1553 0 0.000000 1553 1 0 2 0 3 1 2 6 7 0 2 2 588.0 3 4 2 192.0 88 0 0.000000 0.000000 0 8 6
254 1715 60 1 65 10238.000000 1 0 3 0 4 0 21 3 3 0 4 7 5 2003 2003 1 0 10 12 2 4 2 2 3 3 2 410 5 0 402 812.0 0 0 1 3 812 841 0.000000 1653 1 0 2 1 3 1 2 6 7 0 2 2 628.0 3 4 2 0.0 45 0 0.000000 0.000000 0 8 6
256 1717 20 3 63 11170.000000 1 3 3 0 4 0 20 3 3 0 2 7 5 2006 2006 1 0 10 12 2 4 2 2 1 3 2 54 5 0 1087 1141.0 0 0 1 3 1141 0 0.000000 1141 1 0 1 1 3 1 2 6 7 0 6 2 484.0 3 4 2 182.0 0 0 0.000000 0.000000 0 8 6
257 1718 20 3 63 5149.000000 1 3 3 0 4 0 20 3 3 0 2 6 5 2004 2004 1 0 10 12 3 4 2 2 3 3 5 0 5 0 1158 1158.0 0 0 1 3 1158 0 0.000000 1158 0 0 1 1 3 1 2 5 7 0 5 0 0.0 2 0 2 0.0 50 0 0.000000 0.000000 0 8 6
259 1720 20 3 76 12099.000000 1 0 3 0 4 0 20 3 3 0 2 8 5 2004 2004 1 1 10 12 2 4 2 2 3 1 1 516 4 430 222 1512.0 0 0 1 3 1512 0 0.000000 1512 0 0 2 0 3 1 2 6 7 0 2 3 845.0 3 4 2 210.0 36 0 0.000000 0.000000 0 8 6
260 1721 20 3 63 5873.000000 1 3 3 0 4 0 20 6 3 0 2 7 5 2004 2005 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1114 1114.0 0 0 1 3 1114 0 0.000000 1114 0 0 1 1 3 1 2 6 7 0 6 2 576.0 3 4 2 248.0 102 0 0.000000 0.000000 0 8 6
261 1722 20 3 63 -191.000000 1 3 3 0 4 0 20 6 3 0 2 5 5 2004 2004 1 0 10 12 3 4 2 2 3 3 5 0 5 0 1114 1114.0 0 0 1 3 1114 0 0.000000 1114 0 0 1 1 3 1 2 6 7 0 5 0 0.0 2 0 2 0.0 39 0 0.000000 0.000000 0 8 6
262 1723 20 3 60 5257.000000 1 3 3 0 4 0 20 6 3 0 2 5 5 2003 2004 1 0 10 12 3 4 2 2 3 3 2 836 5 0 278 1114.0 0 0 1 3 1114 0 0.000000 1114 1 0 2 0 3 1 2 6 7 0 6 2 576.0 3 4 2 0.0 42 0 0.000000 0.000000 0 8 6
263 1724 20 3 61 15830.000000 1 3 3 0 4 0 20 3 3 0 2 7 5 2008 2009 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1450 1450.0 0 0 1 3 1450 0 0.000000 1450 0 0 2 0 2 1 2 6 7 0 2 3 788.0 3 4 2 0.0 93 0 0.000000 0.000000 0 6 7
265 1726 60 3 70 17203.000000 1 3 3 0 4 0 20 3 3 0 4 6 6 1992 1992 1 0 6 6 2 2 2 2 1 3 2 52 4 364 400 816.0 0 0 1 3 833 897 0.000000 1730 0 0 2 1 3 1 2 6 7 0 2 2 528.0 3 4 2 0.0 91 0 0.000000 153.453113 0 8 6
266 1727 120 3 50 9053.000000 1 3 3 0 4 0 20 3 3 4 2 6 5 1990 1991 1 0 8 7 2 4 2 2 3 3 5 0 5 0 1332 1332.0 0 2 1 3 1332 0 0.000000 1332 0 0 2 0 2 1 2 5 7 0 2 2 542.0 3 4 2 0.0 60 0 0.000000 0.000000 0 8 6
267 1728 60 3 70 11376.000000 1 3 3 0 4 0 20 6 3 0 4 7 5 1994 1994 1 0 10 12 2 4 2 2 3 3 3 36 2 430 122 754.0 0 0 1 3 754 786 0.000000 1540 1 0 2 1 3 1 2 6 7 0 2 2 495.0 3 4 2 140.0 32 0 0.000000 0.000000 0 8 6
268 1729 60 3 68 14191.000000 1 0 3 0 1 0 20 3 3 0 4 6 7 1986 1986 1 0 10 12 3 2 1 2 3 3 4 331 5 0 345 676.0 0 4 1 3 698 702 0.000000 1400 0 0 2 1 3 1 3 6 7 0 2 2 465.0 3 4 2 0.0 48 0 0.000000 0.000000 0 8 6
269 1730 90 3 75 8383.000000 1 3 3 0 4 0 20 3 3 2 4 6 7 1981 1981 1 0 11 14 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 1 3 964 918 0.000000 1882 0 0 2 0 4 2 3 8 7 2 2 2 612.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
270 1731 20 3 63 6149.000000 1 0 3 0 4 0 19 3 3 0 2 5 5 1962 1962 3 0 6 9 3 4 1 3 3 3 3 68 1 430 28 980.0 0 2 1 3 980 0 0.000000 980 1 0 1 0 3 1 3 5 7 0 6 2 400.0 3 4 2 0.0 28 0 0.000000 0.000000 0 8 6
271 1732 20 3 68 13434.000000 1 0 3 0 0 0 19 1 3 0 2 5 6 1961 1961 1 0 7 8 3 4 1 3 3 3 2 660 5 0 204 864.0 0 0 1 3 864 0 0.000000 864 1 0 1 0 3 1 3 5 7 0 6 2 732.0 3 4 2 0.0 311 0 0.000000 0.000000 0 8 6
273 1734 20 3 68 11591.000000 1 0 3 0 4 0 19 3 3 0 2 5 5 1965 1965 1 0 6 9 3 4 1 3 3 3 4 544 5 0 480 1024.0 0 2 1 3 1020 0 0.000000 1020 0 0 2 0 3 1 3 5 7 0 2 1 288.0 3 4 2 171.0 0 0 0.000000 0.000000 0 7 4
274 1735 20 3 68 15225.000000 1 0 3 0 4 0 19 6 3 0 2 5 8 1963 1995 1 0 8 9 2 2 1 3 3 3 0 624 5 0 288 912.0 0 0 1 3 912 0 0.000000 912 1 0 1 0 3 1 2 6 7 0 2 1 300.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
275 1736 20 3 65 13303.000000 1 3 3 0 4 0 19 1 3 0 2 5 6 1962 1962 1 0 10 12 3 4 1 3 3 3 3 140 1 430 182 912.0 0 2 1 3 912 0 0.000000 912 0 1 1 0 3 1 3 6 7 0 2 1 252.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
276 1737 20 3 68 3305.000000 1 0 2 0 4 0 24 3 3 0 2 8 8 1980 1980 1 0 10 12 2 2 1 2 1 1 0 1733 4 92 189 2014.0 0 2 1 3 2014 0 0.000000 2014 1 0 2 0 2 1 2 6 3 2 2 3 864.0 3 4 2 462.0 0 0 37.972624 0.000000 0 8 6
277 1738 60 3 68 10376.000000 1 3 3 0 4 0 15 3 3 0 4 7 8 1991 2008 1 0 10 12 2 2 2 2 3 3 2 601 0 216 158 975.0 0 0 1 3 975 780 0.000000 1755 0 1 2 1 3 1 2 7 7 1 2 2 524.0 3 4 2 502.0 60 0 0.000000 0.000000 0 8 6
278 1739 160 1 32 10368.000000 1 3 3 0 4 0 21 3 3 3 4 7 5 2004 2005 1 0 7 8 2 4 2 2 3 3 5 0 5 0 1376 1376.0 0 0 1 3 1376 1629 0.000000 3005 0 0 2 1 3 1 2 9 5 1 4 3 704.0 3 4 2 0.0 177 0 0.000000 0.000000 0 8 6
279 1740 120 1 68 6524.000000 1 0 3 0 4 0 21 3 3 4 2 6 5 2008 2008 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1726 1726.0 0 0 1 3 1726 0 0.000000 1726 0 0 2 1 2 1 2 6 7 1 2 2 561.0 3 4 2 0.0 254 0 0.000000 0.000000 0 6 7
280 1741 120 1 68 9685.000000 1 0 3 0 4 0 21 3 3 4 2 6 5 2008 2008 1 0 10 12 2 4 2 2 3 3 2 962 5 0 183 1145.0 0 0 1 3 1256 0 0.000000 1256 1 0 1 1 1 1 2 5 7 1 2 2 641.0 3 4 2 0.0 169 0 0.000000 0.000000 0 8 6
281 1742 160 1 34 13778.000000 1 3 3 0 4 0 21 3 3 4 4 6 5 2000 2000 1 0 7 8 2 4 2 2 3 3 2 507 5 0 249 756.0 0 0 1 3 756 756 0.000000 1512 1 0 2 1 2 1 2 4 7 0 6 2 440.0 3 4 2 0.0 32 0 0.000000 0.000000 0 8 6
282 1743 160 1 35 8079.000000 1 3 3 0 2 0 21 3 3 4 4 7 5 1999 1999 3 0 7 8 2 4 2 2 3 3 2 549 5 0 142 691.0 0 0 1 3 713 739 0.000000 1452 1 0 2 1 3 1 2 6 7 0 6 2 506.0 3 4 2 0.0 34 0 0.000000 0.000000 0 8 6
283 1744 20 3 68 15637.000000 1 0 3 0 4 0 24 3 3 0 2 8 9 1977 2008 1 0 7 8 0 0 1 2 1 1 2 1252 0 136 306 1694.0 0 0 1 3 1694 0 0.000000 1694 1 0 2 0 2 1 0 5 7 1 2 2 642.0 3 4 2 501.0 120 0 37.972624 0.000000 0 8 6
284 1745 20 3 110 5995.000000 1 3 3 0 4 0 24 3 3 0 2 7 5 1981 1981 1 0 3 3 2 4 1 2 3 2 3 121 5 0 1619 1740.0 0 4 1 3 1740 0 0.000000 1740 0 0 1 1 2 1 2 7 7 0 2 2 540.0 3 4 2 228.0 20 66 0.000000 0.000000 0 8 6
285 1746 80 3 80 11246.000000 1 3 2 0 2 1 24 1 3 0 6 8 5 1976 1976 1 0 8 9 2 2 1 3 3 3 5 0 5 0 392 392.0 0 0 1 3 1487 1012 0.000000 2499 0 0 2 1 4 1 3 5 7 1 2 2 527.0 3 4 2 0.0 64 0 0.000000 0.000000 0 8 1
286 1747 60 3 68 7165.000000 1 0 3 0 1 0 14 5 3 0 4 7 6 1974 1974 1 0 10 12 3 4 1 3 3 2 2 560 3 42 150 752.0 0 4 1 3 1285 782 0.000000 2067 0 0 2 1 3 1 2 7 7 2 2 2 784.0 3 4 2 297.0 40 0 0.000000 0.000000 0 8 6
287 1748 60 3 80 8941.000000 1 3 3 0 4 0 14 4 3 0 4 6 7 1967 1997 1 0 7 8 3 4 2 3 3 3 5 0 5 0 932 932.0 0 2 1 3 1271 1369 0.000000 2640 0 0 2 1 5 1 2 8 7 1 2 2 515.0 3 4 2 0.0 120 0 0.000000 153.453113 0 8 6
288 1749 20 3 80 7727.000000 1 3 3 0 4 0 14 1 3 0 2 5 5 1969 1969 1 0 6 6 3 4 1 2 3 2 0 553 4 147 588 1288.0 0 4 1 3 1336 0 0.000000 1336 0 1 2 0 3 1 3 6 7 1 2 2 502.0 3 4 2 312.0 11 0 0.000000 0.000000 0 8 6
289 1750 20 3 75 5882.000000 1 3 3 0 4 0 14 1 3 0 2 6 5 1969 1969 1 0 6 6 3 4 1 3 3 0 1 955 5 0 261 1216.0 0 4 1 3 1216 0 0.000000 1216 1 0 1 0 3 1 3 5 7 0 2 1 336.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 1
290 1751 60 3 68 4771.000000 1 0 3 0 4 0 14 3 3 0 4 7 7 1977 1992 3 0 6 6 3 2 2 2 3 3 2 432 5 0 476 908.0 0 0 1 3 1316 972 0.000000 2288 0 0 1 2 4 1 2 8 7 2 2 2 520.0 3 4 2 321.0 72 0 0.000000 153.453113 0 8 6
291 1752 20 3 62 2527.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1967 1967 1 0 6 6 3 4 2 3 3 3 1 648 5 0 216 864.0 0 4 1 3 864 0 0.000000 864 0 1 1 0 2 1 3 5 7 0 2 1 312.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
292 1753 20 3 80 19510.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1967 1967 3 0 6 6 3 4 1 3 3 3 5 0 5 0 1568 1568.0 0 4 1 3 1568 0 0.000000 1568 0 0 1 1 3 1 3 7 7 0 2 2 440.0 3 4 2 160.0 40 0 0.000000 0.000000 0 0 6
293 1754 60 3 80 10317.000000 1 3 3 0 4 0 14 3 3 0 4 7 5 1974 1974 1 0 8 9 3 4 1 3 3 3 0 698 5 0 467 1165.0 0 2 1 3 1165 896 0.000000 2061 0 1 2 1 4 1 3 8 7 1 2 2 498.0 3 4 2 0.0 77 0 0.000000 153.453113 0 0 1
294 1755 85 3 68 15445.000000 1 3 3 0 4 0 14 3 3 0 5 6 5 1971 1971 3 0 6 6 3 4 1 2 3 0 2 962 5 0 270 1232.0 0 1 1 3 1320 0 0.000000 1320 0 1 2 0 3 1 3 5 7 1 2 2 495.0 3 4 2 0.0 20 0 0.000000 0.000000 0 8 6
295 1756 20 3 60 12449.000000 1 3 3 0 4 0 12 3 3 0 2 4 7 1960 1960 1 0 10 12 3 4 1 3 3 3 0 734 5 0 160 894.0 0 2 1 3 894 0 0.000000 894 1 0 1 0 2 1 3 5 7 1 6 2 396.0 3 4 2 0.0 0 0 37.972624 0.000000 0 8 6
296 1757 20 3 65 9540.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1959 1959 3 0 7 8 3 4 1 3 3 3 1 403 5 0 461 864.0 0 0 1 3 864 0 0.000000 864 0 0 1 0 3 1 3 5 7 0 6 1 308.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
297 1758 20 3 68 17302.000000 1 0 3 0 0 0 12 3 3 0 2 4 5 1957 1957 1 0 11 13 3 4 1 3 3 3 1 775 5 0 265 1040.0 0 4 1 3 1362 0 0.000000 1362 1 0 1 0 3 1 3 6 7 1 2 3 768.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
298 1759 20 3 68 18040.000000 1 0 3 0 0 0 12 3 3 0 2 5 6 1956 1956 1 0 11 13 3 2 1 3 3 3 1 625 3 201 222 1048.0 0 1 1 3 1728 0 0.000000 1728 1 0 2 0 3 1 3 7 0 1 6 2 576.0 3 4 2 0.0 99 0 0.000000 0.000000 0 8 6
299 1760 20 3 85 15513.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1961 1995 1 0 11 13 3 4 1 3 3 3 0 310 1 430 491 1313.0 0 4 1 3 1313 0 0.000000 1313 1 0 1 1 3 1 2 6 7 1 2 2 610.0 3 4 2 172.0 28 0 0.000000 121.000000 0 8 6
300 1761 20 3 115 10738.000000 1 0 3 0 4 0 12 3 3 0 2 5 5 1964 1964 1 0 6 6 3 2 1 3 3 3 3 998 5 0 294 1292.0 0 4 1 3 1292 0 0.000000 1292 1 0 1 1 3 1 3 6 7 2 6 2 520.0 3 4 2 0.0 32 0 0.000000 92.000000 0 0 1
301 1762 60 3 68 12299.000000 1 0 3 0 0 0 12 3 3 0 4 5 6 1965 1965 1 0 7 8 3 2 1 3 3 3 0 388 5 0 356 744.0 0 4 1 3 825 1315 0.000000 2140 0 0 2 1 4 1 3 7 7 1 2 2 549.0 3 4 2 0.0 40 66 0.000000 0.000000 0 8 6
302 1763 80 3 85 11810.000000 1 3 3 0 0 0 12 3 3 0 6 6 6 1961 1961 3 0 6 6 3 4 1 3 3 1 0 568 5 0 640 1208.0 0 0 1 3 1576 0 0.000000 1576 1 0 1 0 4 1 2 7 7 1 4 2 368.0 3 4 2 85.0 0 0 0.000000 0.000000 0 8 6
303 1764 20 3 68 9567.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1955 1955 1 0 11 13 3 4 1 3 3 3 4 100 0 247 613 960.0 0 2 1 3 960 0 0.000000 960 1 0 1 0 2 1 3 5 7 0 2 1 330.0 3 4 2 0.0 70 0 0.000000 0.000000 0 8 6
304 1765 20 3 90 11501.000000 1 3 3 0 4 0 12 1 3 0 2 6 5 1967 1967 1 0 2 2 2 4 1 3 3 3 4 1173 5 0 507 1680.0 0 4 1 3 1691 0 0.000000 1691 1 0 1 0 2 1 3 5 7 0 2 2 550.0 1 4 2 0.0 67 66 0.000000 0.000000 0 8 6
305 1766 20 3 92 7815.000000 1 0 3 0 0 0 12 3 3 0 2 6 6 1961 1961 3 0 7 8 3 4 1 3 3 3 4 1312 5 0 141 1453.0 0 0 1 3 1453 0 0.000000 1453 1 0 2 0 3 1 3 6 7 1 2 2 530.0 3 4 2 0.0 49 0 0.000000 153.453113 0 8 6
306 1767 20 3 80 11984.000000 1 0 3 0 4 0 12 3 3 0 2 6 8 1966 2008 1 0 7 8 3 2 1 3 3 3 0 1387 5 0 175 1562.0 0 2 1 3 1567 0 0.000000 1567 1 0 2 0 2 1 2 5 7 2 2 2 542.0 3 4 2 0.0 110 0 0.000000 153.453113 0 8 6
308 1769 20 3 68 8963.000000 1 0 3 0 4 0 12 3 3 0 2 7 6 1960 1960 1 0 8 9 3 4 1 3 3 3 1 544 5 0 785 1329.0 0 2 1 3 1329 0 0.000000 1329 0 0 1 1 3 1 3 5 7 2 2 2 441.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
309 1770 20 3 66 15611.000000 1 0 3 0 4 0 12 3 3 0 2 6 8 1959 1998 3 0 7 8 2 4 1 3 3 3 0 708 5 0 280 988.0 0 4 1 3 988 0 0.000000 988 1 0 2 0 3 1 2 6 7 0 2 1 297.0 3 4 2 156.0 0 0 0.000000 0.000000 0 8 6
310 1771 20 3 70 12355.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1956 1956 1 0 3 3 3 4 1 3 3 3 4 435 1 202 565 1202.0 0 4 1 3 1202 0 0.000000 1202 0 1 1 0 3 1 3 6 7 0 2 1 304.0 3 4 2 0.0 35 66 0.000000 0.000000 0 0 1
311 1772 20 3 70 15212.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1955 1955 1 0 0 0 3 4 1 3 3 3 4 172 3 430 727 1382.0 0 2 1 0 1382 0 0.000000 1382 0 1 1 0 3 1 2 6 7 0 2 1 350.0 3 4 2 280.0 0 0 0.000000 0.000000 0 8 6
312 1773 20 3 80 6017.000000 1 3 3 0 0 0 12 3 3 0 2 4 5 1956 1956 1 0 8 9 3 4 1 3 3 3 4 155 3 430 295 1200.0 0 4 1 3 1200 0 0.000000 1200 1 0 1 0 3 1 3 6 7 2 2 1 294.0 3 4 2 0.0 189 66 0.000000 0.000000 0 8 4
313 1774 90 3 76 9585.000000 1 3 3 0 4 0 12 3 3 2 2 5 4 1958 1958 3 0 11 13 3 4 2 3 3 3 5 0 5 0 1866 1866.0 0 0 1 3 1866 0 0.000000 1866 0 0 2 0 4 2 3 8 7 0 6 2 495.0 3 1 2 0.0 0 0 0.000000 0.000000 0 8 6
314 1775 20 3 53 11681.000000 1 0 3 0 1 0 12 3 3 0 2 6 7 1954 1954 3 0 7 8 3 4 1 3 3 3 0 490 5 0 572 1062.0 0 2 1 3 1062 0 0.000000 1062 1 0 1 0 3 1 3 6 7 0 2 1 297.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
315 1776 20 3 67 9673.000000 1 3 3 0 0 0 12 3 3 0 2 5 5 1951 1951 3 0 7 8 3 4 1 3 3 3 4 308 5 0 323 631.0 0 4 1 0 1112 0 0.000000 1112 0 0 1 0 2 1 3 5 7 0 3 2 480.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
316 1777 30 3 80 15921.000000 1 3 3 0 0 0 12 3 3 0 2 5 6 1945 1950 1 0 7 8 3 2 1 3 3 3 1 700 5 0 93 793.0 0 4 1 3 793 0 0.000000 793 1 0 1 0 2 1 1 4 7 0 6 1 240.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
317 1778 20 3 60 2657.000000 1 3 3 0 4 0 12 3 3 0 2 5 8 1952 2005 3 0 11 13 2 4 1 3 3 3 2 931 5 0 100 1031.0 0 2 1 3 1031 0 0.000000 1031 1 0 1 0 2 1 2 5 7 0 2 1 230.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
318 1779 20 3 75 -2394.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1953 1953 3 0 11 13 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 1 0 1210 0 0.000000 1210 0 0 1 1 2 1 3 7 7 0 2 1 616.0 3 4 2 208.0 0 66 0.000000 0.000000 0 3 6
319 1780 60 3 78 5066.000000 1 3 3 0 0 0 12 0 3 0 4 7 7 1948 1999 1 0 12 14 3 4 1 3 3 2 0 699 5 0 0 699.0 0 0 1 0 801 726 0.000000 1527 1 0 1 1 3 1 3 6 7 1 2 2 410.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
321 1782 20 3 53 19109.000000 1 3 3 0 4 0 17 3 3 0 2 3 5 1958 1958 1 0 7 8 3 4 1 3 3 3 5 0 5 0 792 792.0 0 2 1 0 792 0 0.000000 792 0 0 1 0 2 1 3 4 7 0 2 1 366.0 0 4 2 0.0 90 0 0.000000 0.000000 0 8 6
322 1783 60 3 60 11930.000000 1 3 3 0 4 0 17 3 3 0 4 5 7 1939 2006 1 0 10 12 3 2 0 3 3 3 5 0 5 0 676 676.0 0 0 1 3 676 676 0.000000 1352 0 1 2 0 4 1 2 7 7 0 6 2 720.0 3 4 2 187.0 0 66 0.000000 0.000000 0 8 6
323 1784 70 3 80 8799.000000 1 3 3 0 0 0 17 3 3 0 4 4 8 1900 2003 1 0 7 8 2 2 0 1 3 3 5 0 5 0 405 405.0 0 2 1 3 717 322 0.000000 1039 0 0 1 0 2 1 3 6 7 0 6 1 281.0 3 4 0 0.0 0 66 0.000000 111.000000 0 8 6
324 1785 30 3 60 6283.000000 1 3 3 0 4 0 17 3 3 0 2 5 7 1925 1950 1 0 7 8 3 4 0 3 3 3 5 0 5 0 1054 1054.0 0 0 1 3 1078 0 0.000000 1078 0 0 1 0 3 1 0 6 7 0 6 1 264.0 3 4 0 0.0 0 0 0.000000 112.000000 0 8 6
325 1786 50 3 60 9612.000000 1 3 3 0 4 0 17 3 3 0 0 4 5 1915 1950 1 0 7 8 3 4 0 3 3 3 5 0 5 0 1313 1313.0 0 4 1 3 1313 0 62.304757 2377 0 0 2 0 3 1 2 8 1 1 6 2 528.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
326 1787 70 3 60 9872.000000 1 3 3 0 0 0 17 0 3 0 4 7 9 1910 2008 1 0 10 12 2 2 2 3 3 3 5 0 5 0 560 560.0 0 0 1 3 930 760 0.000000 1690 0 0 2 0 4 1 2 5 7 0 6 2 624.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
327 1788 30 3 90 7749.000000 1 3 3 0 4 0 17 0 3 0 2 2 5 1940 1950 1 0 9 11 1 4 2 1 3 3 5 0 5 0 416 416.0 0 2 0 0 599 0 0.000000 599 1 0 1 0 2 1 2 4 7 0 5 0 0.0 2 0 0 0.0 81 0 0.000000 0.000000 0 8 6
328 1789 30 3 60 17982.000000 1 3 3 0 4 0 17 3 3 0 2 5 7 1920 1950 1 0 11 13 3 4 0 3 3 3 5 0 5 0 720 720.0 0 4 0 3 846 0 0.000000 846 0 0 1 0 2 1 2 4 7 0 6 2 576.0 3 4 0 0.0 0 0 0.000000 0.000000 0 8 6
329 1790 30 3 60 22086.000000 1 3 3 0 0 0 17 3 3 0 2 3 5 1890 1998 1 0 10 12 3 4 0 3 3 3 5 0 5 0 630 630.0 0 4 1 0 725 0 0.000000 725 0 0 1 1 1 1 3 4 7 0 6 1 320.0 3 4 2 0.0 30 0 0.000000 0.000000 0 8 6
330 1791 90 3 81 13272.000000 1 3 3 0 0 0 12 0 3 2 4 6 5 1969 1969 1 0 7 8 3 4 1 3 3 3 5 0 5 0 1248 1248.0 0 4 1 3 1248 1296 0.000000 2544 0 0 2 2 6 2 3 12 7 0 2 3 907.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
331 1792 20 3 83 11559.000000 1 3 3 0 4 0 12 3 3 0 2 6 7 1963 1963 1 0 6 6 3 4 1 3 3 3 4 384 5 0 996 1380.0 0 1 1 3 1380 0 0.000000 1380 0 0 1 1 3 1 3 6 7 0 2 1 364.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
332 1793 20 3 77 2974.000000 1 0 3 0 4 0 12 3 3 0 2 6 4 1967 1967 1 0 6 6 1 4 1 3 0 3 1 872 4 60 108 1040.0 0 2 1 3 1040 0 0.000000 1040 1 0 1 0 3 1 3 6 0 1 2 2 480.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
333 1794 20 3 62 2565.000000 1 3 3 0 4 0 12 3 3 0 2 6 9 1958 2007 3 0 11 13 2 2 1 3 3 2 2 745 5 0 206 951.0 0 2 1 3 951 0 0.000000 951 1 0 1 0 2 1 2 6 7 0 6 2 480.0 3 4 2 0.0 0 42 0.000000 0.000000 0 8 6
334 1795 20 3 90 1184.000000 1 0 3 0 0 0 12 3 3 0 2 6 6 1957 1957 3 0 8 9 3 4 1 3 3 3 4 546 5 0 559 1105.0 0 2 1 0 1105 0 0.000000 1105 0 0 1 0 3 1 3 5 7 0 6 1 308.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
335 1796 20 3 80 9538.000000 1 0 1 0 4 1 12 3 3 0 2 6 6 1958 1958 0 1 11 13 3 4 1 2 3 1 5 0 5 0 160 160.0 0 1 1 3 1142 0 0.000000 1142 0 0 1 0 2 1 3 5 7 1 3 1 384.0 3 4 2 0.0 28 64 0.000000 0.000000 0 8 6
336 1797 50 3 60 10005.000000 1 3 3 0 4 0 12 0 3 0 0 6 5 1950 1950 1 0 11 13 3 4 1 3 3 0 4 621 5 0 174 795.0 0 2 0 3 765 368 0.000000 1133 0 0 1 0 3 1 3 5 7 0 6 2 900.0 3 4 2 0.0 0 0 0.000000 153.453113 0 0 1
337 1798 20 3 71 5863.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1958 1958 3 0 3 3 3 4 1 3 3 3 5 0 5 0 1041 1041.0 0 2 1 3 1041 0 0.000000 1041 0 0 1 0 3 1 3 6 7 0 2 1 294.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
338 1799 20 3 60 12752.000000 1 3 3 0 0 0 12 3 3 0 2 5 7 1952 1952 1 0 7 8 3 2 1 3 1 3 0 630 1 102 0 732.0 0 4 1 3 732 0 0.000000 732 1 0 1 0 2 1 3 4 7 0 6 1 240.0 3 4 2 0.0 68 0 0.000000 0.000000 0 8 6
339 1800 80 3 80 3830.000000 1 3 3 0 4 0 12 3 3 0 6 5 5 1959 1959 1 0 3 9 3 4 1 2 3 0 2 433 4 95 0 528.0 0 4 1 3 1183 0 0.000000 1183 1 0 1 0 3 1 3 6 7 0 2 1 288.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
340 1801 50 3 60 10024.000000 1 3 3 0 4 0 12 0 3 0 0 4 7 1949 1996 1 0 7 8 3 4 1 3 3 3 5 0 5 0 832 832.0 0 4 1 1 832 629 0.000000 1461 0 0 2 0 4 1 3 6 7 0 6 1 384.0 3 4 2 0.0 204 0 0.000000 0.000000 0 8 6
341 1802 50 3 60 6415.000000 1 3 3 0 0 0 12 0 3 0 0 6 7 1948 1994 1 0 7 8 3 4 1 3 3 3 3 120 5 0 744 864.0 0 4 1 3 1064 0 62.304757 1495 0 0 1 0 3 1 3 6 7 0 6 2 576.0 3 4 2 180.0 36 0 0.000000 0.000000 0 0 1
343 1804 90 3 75 13949.000000 1 0 3 0 4 0 12 3 3 2 5 5 7 1978 1978 1 0 8 9 3 2 1 2 3 0 2 941 5 0 0 941.0 0 2 1 3 941 0 0.000000 941 1 0 1 0 2 1 2 4 7 0 2 2 564.0 3 4 2 0.0 40 0 0.000000 0.000000 0 8 6
344 1805 20 3 80 15973.000000 1 3 3 0 4 0 12 3 3 0 2 6 6 1963 1963 3 0 6 6 3 4 1 3 3 3 1 826 5 0 219 1045.0 0 4 1 3 1045 0 0.000000 1045 1 0 1 0 3 1 3 6 7 1 2 1 264.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
345 1806 50 4 68 11568.000000 1 3 3 0 4 0 17 2 2 0 0 6 8 1935 1998 1 0 11 13 3 4 2 3 3 3 5 0 5 0 901 901.0 0 2 1 3 861 517 0.000000 1378 0 0 1 0 3 1 2 6 7 0 6 1 162.0 0 1 1 54.0 0 40 0.000000 0.000000 0 8 5
346 1807 90 4 57 7400.000000 1 3 3 0 4 0 17 2 2 2 4 6 5 1910 1950 1 0 11 13 3 4 1 3 3 2 3 633 5 0 339 972.0 0 2 0 0 972 972 0.000000 1944 1 0 2 0 4 2 3 12 7 0 6 2 324.0 0 4 0 0.0 28 66 0.000000 0.000000 0 8 5
347 1808 50 4 90 11639.000000 1 3 3 0 4 0 17 2 2 0 0 5 8 1910 2003 1 0 10 12 3 2 1 3 3 3 5 0 5 0 240 240.0 0 4 1 3 810 496 0.000000 1306 0 0 1 1 3 1 2 6 7 0 6 2 472.0 0 4 0 0.0 0 0 0.000000 0.000000 0 8 5
348 1809 70 4 90 11909.000000 1 3 3 0 0 0 17 2 2 0 4 5 8 1910 2002 1 0 10 12 2 4 1 3 3 3 5 0 5 0 504 504.0 0 0 1 3 764 700 0.000000 1464 0 0 2 0 3 1 3 7 7 0 5 0 0.0 2 0 0 0.0 0 66 0.000000 0.000000 0 8 5
349 1810 70 4 57 9364.000000 1 3 3 0 4 0 17 2 2 0 4 5 6 1939 1950 1 0 11 13 3 4 0 3 3 3 0 421 5 0 269 690.0 0 4 1 0 868 690 0.000000 1558 0 0 1 1 3 1 3 7 7 1 6 2 400.0 3 4 2 0.0 36 0 0.000000 153.453113 0 8 5
350 1811 190 4 63 1218.000000 1 3 3 0 0 0 17 0 2 1 4 4 6 1920 1950 1 0 0 0 1 4 0 1 2 3 5 0 5 0 600 600.0 0 2 0 3 1101 600 0.000000 1701 0 0 2 0 4 2 1 8 7 0 5 0 0.0 2 0 0 0.0 0 66 0.000000 0.000000 0 8 5
351 1812 50 4 56 12271.000000 1 3 3 0 4 0 17 2 2 0 0 5 5 1910 1950 1 0 7 8 3 4 0 1 3 3 5 0 5 0 801 801.0 0 2 0 3 801 646 0.000000 1447 0 0 1 0 3 1 3 6 7 0 5 0 0.0 2 0 0 80.0 0 66 0.000000 0.000000 0 8 5
352 1813 50 4 50 8688.000000 1 3 3 0 4 0 17 2 2 0 0 5 7 1950 1970 1 0 11 13 3 0 1 3 3 3 1 384 5 0 384 768.0 0 4 1 0 768 560 0.000000 1328 0 0 1 1 3 1 3 6 7 0 6 1 308.0 3 4 2 0.0 12 0 0.000000 0.000000 0 8 5
353 1814 30 4 62 9355.000000 1 3 3 0 0 0 17 2 2 0 2 4 6 1920 1950 1 0 7 8 3 4 0 1 3 3 5 0 5 0 861 861.0 0 4 1 3 861 0 0.000000 861 0 0 1 0 2 1 3 5 7 0 6 2 288.0 3 4 0 0.0 0 66 0.000000 0.000000 0 7 5
354 1815 30 4 50 10011.000000 1 3 3 0 0 0 17 2 2 0 2 2 4 1940 1950 1 0 7 8 3 2 0 1 2 2 3 0 2 0 0 0.0 0 1 0 0 612 0 0.000000 612 0 0 1 0 1 1 3 4 7 0 6 1 308.0 3 1 0 0.0 0 25 0.000000 0.000000 0 8 5
355 1816 30 4 60 8403.000000 1 3 3 0 4 0 17 2 2 0 2 5 8 1923 1950 1 0 9 11 2 4 2 1 3 3 5 0 5 0 624 624.0 0 4 1 3 792 0 0.000000 792 0 0 1 0 2 1 3 5 7 0 6 1 287.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
356 1817 70 4 60 13763.000000 1 3 3 0 4 0 17 2 2 0 4 4 4 1910 1950 1 0 10 12 2 2 0 1 3 3 5 0 5 0 677 677.0 0 4 1 3 833 677 0.000000 1510 0 0 2 0 3 1 2 7 7 0 6 2 720.0 3 4 0 0.0 0 66 0.000000 0.000000 0 8 5
357 1818 70 4 70 19581.000000 1 3 3 0 0 0 17 0 2 0 4 6 7 1900 1950 1 0 9 3 3 4 0 1 1 2 5 0 5 0 917 917.0 0 2 1 0 1090 917 0.000000 2007 0 0 2 0 3 1 0 8 7 0 6 1 357.0 3 4 2 0.0 235 0 0.000000 0.000000 0 8 5
358 1819 70 4 60 13753.000000 1 3 3 0 4 0 17 2 2 0 4 6 7 1917 2007 1 0 9 11 3 4 0 3 3 3 5 0 5 0 624 624.0 0 0 1 3 664 624 0.000000 1288 1 0 1 0 3 1 0 5 7 1 2 1 280.0 3 4 0 0.0 103 0 0.000000 0.000000 0 8 5
359 1820 30 0 68 2008.000000 1 3 3 0 4 0 17 3 3 0 2 4 3 1910 1950 1 0 9 11 3 4 0 3 3 3 5 0 5 0 624 624.0 0 0 1 3 816 0 0.000000 816 0 0 1 0 2 1 3 5 7 1 5 0 0.0 2 0 0 0.0 33 0 0.000000 0.000000 0 8 6
360 1821 50 4 60 13848.000000 1 3 3 0 4 0 17 2 2 0 0 6 6 1920 1950 1 0 7 8 1 4 0 3 3 3 5 0 5 0 972 972.0 0 0 1 3 1044 0 62.304757 1480 0 0 1 0 3 1 3 6 7 0 6 1 207.0 0 4 2 0.0 0 66 0.000000 0.000000 0 4 4
361 1822 70 4 60 9455.000000 1 3 3 0 4 0 17 2 2 0 4 6 7 1910 2002 1 0 7 8 3 4 2 3 3 3 5 0 5 0 741 741.0 0 0 1 3 780 741 0.000000 1521 0 0 1 0 4 1 2 8 7 0 6 3 640.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
362 1823 30 0 72 4520.000000 1 3 3 0 0 0 9 3 3 0 2 3 3 1900 1950 4 0 0 0 3 1 1 1 3 3 5 0 5 0 245 245.0 0 4 0 3 797 0 0.000000 797 0 0 1 0 2 1 3 5 7 0 5 0 0.0 2 0 0 0.0 36 66 0.000000 0.000000 0 8 1
363 1824 30 3 68 6535.000000 1 3 3 0 4 0 3 3 3 0 2 6 6 1923 1950 1 0 7 8 3 4 0 3 3 3 5 0 5 0 1022 1022.0 0 4 0 0 1432 0 0.000000 1432 0 0 1 0 3 1 2 6 7 1 4 1 216.0 0 4 2 266.0 61 0 0.000000 0.000000 0 8 6
364 1825 70 3 50 13131.000000 1 3 3 0 4 0 3 7 3 0 0 5 7 1930 1982 1 0 12 14 3 4 1 3 3 3 5 0 5 0 297 297.0 0 0 1 3 1001 653 0.000000 1654 0 0 2 0 3 1 3 7 7 1 6 1 336.0 3 4 0 244.0 60 0 0.000000 0.000000 0 8 6
365 1826 50 4 60 9864.000000 1 3 3 0 0 0 3 2 2 0 0 5 5 1924 1950 1 0 9 11 3 4 0 3 3 3 4 220 5 0 248 468.0 0 2 1 3 822 320 0.000000 1142 0 0 1 0 3 1 3 6 7 0 2 1 320.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
366 1827 30 4 51 12429.000000 1 3 3 0 4 0 3 2 2 0 2 5 6 1925 1999 1 0 7 8 3 4 0 3 3 3 5 0 5 0 960 960.0 0 2 1 3 995 0 0.000000 995 0 0 1 0 2 1 3 5 7 0 6 1 264.0 3 4 2 0.0 15 51 0.000000 0.000000 0 8 0
367 1828 50 4 51 11713.000000 1 3 3 0 4 0 3 2 2 0 0 5 6 1938 1950 1 0 11 13 3 4 0 3 0 3 3 273 5 0 679 952.0 0 4 1 0 994 588 0.000000 1582 0 0 2 0 3 1 3 6 7 1 6 1 250.0 0 4 2 189.0 0 34 37.972624 0.000000 0 8 5
368 1829 30 4 50 13624.000000 1 3 3 0 4 0 3 2 2 0 2 5 5 1925 1950 3 0 11 13 3 1 0 3 3 3 3 134 5 0 938 1072.0 0 4 1 3 1072 0 0.000000 1072 1 0 1 0 2 1 3 5 7 0 6 5 1184.0 0 4 1 0.0 0 66 0.000000 0.000000 0 8 5
369 1830 70 4 57 12807.000000 1 3 3 0 4 0 17 2 2 0 4 6 6 1915 1950 1 0 7 8 3 4 2 3 3 3 5 0 5 0 1048 1048.0 0 2 1 0 1048 720 0.000000 1768 0 0 2 0 3 1 3 8 7 0 6 2 576.0 0 1 2 0.0 0 66 0.000000 0.000000 0 8 5
370 1831 70 4 68 2778.000000 1 3 3 0 4 0 17 2 2 0 4 7 8 1915 1994 1 0 11 13 3 2 0 3 3 3 5 0 5 0 672 672.0 0 1 1 3 1272 672 0.000000 1944 0 0 2 0 3 1 3 8 1 0 6 1 216.0 3 4 0 24.0 28 0 0.000000 0.000000 0 8 5
371 1832 90 4 50 8906.000000 1 3 0 0 4 0 17 2 2 2 4 5 1 1922 1950 3 0 7 8 3 4 0 3 0 3 5 0 5 0 1040 1040.0 0 4 0 3 1088 1040 0.000000 2128 0 0 2 0 4 2 3 11 6 0 5 0 0.0 2 0 2 0.0 56 0 0.000000 0.000000 0 8 0
372 1833 70 4 57 4216.000000 1 3 3 0 4 0 9 2 2 0 4 6 5 1927 1950 1 0 8 9 3 4 1 3 0 3 1 522 5 0 198 720.0 0 1 1 3 1146 784 0.000000 1930 1 0 2 0 4 1 3 8 7 0 2 1 316.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
373 1834 70 4 68 11000.000000 1 1 0 0 0 1 17 1 2 0 4 6 7 1915 2002 1 0 11 13 3 4 0 3 3 3 5 0 5 0 483 483.0 0 0 1 3 741 686 0.000000 1427 0 0 1 0 3 1 2 7 7 0 2 1 379.0 3 4 2 0.0 24 66 0.000000 0.000000 0 8 5
374 1835 190 4 41 10709.000000 1 2 0 0 0 0 17 1 2 1 3 7 5 1902 2000 1 0 7 8 3 1 0 3 0 3 4 169 5 0 851 1020.0 0 4 0 1 978 886 0.000000 1864 0 0 2 1 6 1 3 9 7 0 5 0 0.0 2 0 0 0.0 188 66 0.000000 0.000000 0 8 5
375 1836 50 4 60 5339.000000 1 3 3 0 0 0 9 2 2 0 0 6 6 1927 1950 1 0 7 8 3 1 0 3 3 3 5 0 5 0 1204 1204.0 0 4 1 0 1204 462 0.000000 1666 0 0 1 0 3 1 3 4 7 0 6 1 384.0 0 4 2 0.0 0 66 0.000000 0.000000 0 8 5
376 1837 85 4 86 6206.000000 1 3 3 0 4 0 9 2 2 0 5 4 6 1923 1950 3 0 7 8 3 2 2 2 0 0 1 749 4 63 46 858.0 0 4 1 3 892 0 0.000000 892 1 0 1 0 1 1 2 5 1 0 5 0 0.0 2 0 0 0.0 0 66 0.000000 153.453113 0 0 0
377 1838 190 4 60 8233.000000 1 3 0 0 4 0 9 0 2 1 4 6 7 1915 1965 1 0 7 8 3 2 1 3 3 3 4 276 0 262 160 698.0 0 0 1 1 754 649 0.000000 1403 1 0 1 1 3 1 3 7 7 0 6 1 308.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
378 1839 20 3 50 7788.000000 1 0 3 0 4 0 19 3 3 0 2 4 9 1946 2001 1 0 7 8 3 2 1 1 3 3 5 0 5 0 560 560.0 0 0 1 0 704 0 0.000000 704 0 1 1 0 2 1 1 4 7 0 5 1 220.0 3 4 2 0.0 0 24 0.000000 0.000000 0 8 6
379 1840 90 3 60 13994.000000 1 3 3 0 4 0 7 3 3 2 2 5 5 1987 1988 1 0 8 9 3 2 1 2 1 1 2 1200 5 0 0 1200.0 0 4 1 3 1200 0 0.000000 1200 3 0 3 0 3 1 3 5 7 0 5 0 0.0 2 0 2 120.0 0 0 0.000000 0.000000 0 8 3
380 1841 90 3 68 4225.000000 1 0 3 0 4 0 7 3 3 2 5 5 5 1978 1978 1 0 8 9 3 4 2 2 1 1 2 1152 5 0 0 1152.0 0 4 1 3 1152 0 0.000000 1152 2 0 2 0 2 2 3 6 7 0 6 1 252.0 3 1 0 0.0 0 0 0.000000 0.000000 0 8 6
381 1842 50 3 60 7289.000000 1 3 3 0 4 0 7 3 3 0 0 5 3 1934 1950 1 0 7 8 3 4 2 3 3 3 5 0 5 0 585 585.0 0 4 0 0 687 425 0.000000 1112 1 0 2 0 4 1 3 6 7 0 6 1 226.0 2 3 0 0.0 0 0 0.000000 0.000000 0 8 6
382 1843 20 3 75 4011.000000 1 3 3 0 4 0 19 3 3 0 2 5 6 1967 1967 3 0 6 6 3 4 1 3 3 3 1 527 5 0 525 1052.0 0 4 1 3 1052 0 0.000000 1052 0 0 1 1 3 1 3 6 7 1 2 1 668.0 3 4 2 0.0 215 0 0.000000 0.000000 0 8 1
383 1844 85 3 68 10279.000000 1 0 3 0 1 0 19 3 3 0 5 6 5 1978 1978 1 0 8 6 3 4 1 2 3 1 2 456 5 0 0 456.0 0 4 1 3 1034 0 0.000000 1034 0 1 1 0 3 1 3 5 7 1 3 2 504.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
384 1845 80 3 88 -2191.000000 1 3 3 0 4 0 19 3 3 0 6 5 5 1961 1961 3 0 6 6 3 4 1 3 1 3 5 0 5 0 552 552.0 0 4 1 3 904 611 62.304757 1774 0 0 2 0 4 1 3 8 7 1 2 1 384.0 3 4 2 290.0 40 0 0.000000 0.000000 0 8 6
385 1846 80 3 88 16138.000000 1 3 3 0 4 0 19 3 3 0 6 6 5 1960 1960 3 0 11 13 3 4 1 3 3 0 1 588 5 0 550 1138.0 0 0 1 3 1138 0 0.000000 1138 0 1 1 0 3 1 3 6 7 1 2 2 480.0 3 4 2 0.0 0 0 0.000000 140.000000 0 0 6
386 1847 80 3 68 4885.000000 1 3 3 0 4 0 4 3 3 0 6 5 5 1956 1956 3 0 11 13 3 4 1 3 3 2 5 0 5 0 825 825.0 0 0 1 3 2071 0 0.000000 2071 0 1 1 1 4 1 3 9 7 1 2 1 336.0 3 4 2 131.0 28 0 0.000000 0.000000 0 8 6
387 1848 20 3 68 17816.000000 1 3 3 0 0 0 19 3 3 0 2 2 2 1947 1950 1 0 11 13 3 4 4 1 2 2 3 0 2 0 0 0.0 0 1 0 3 660 0 0.000000 660 0 0 1 0 2 1 1 5 1 0 5 0 0.0 2 0 0 0.0 0 66 0.000000 0.000000 0 8 6
388 1849 20 3 68 9555.000000 1 0 3 0 1 0 7 3 3 0 2 4 5 1954 1954 1 0 10 12 3 4 1 1 2 2 3 0 2 0 0 0.0 0 4 1 3 1383 0 0.000000 1383 0 0 1 0 2 1 3 6 5 0 2 2 498.0 0 4 2 0.0 0 66 0.000000 110.000000 0 8 6
389 1850 20 3 68 12400.000000 1 3 3 0 4 0 7 3 3 0 2 5 5 1956 1956 3 0 7 8 3 4 1 3 3 3 4 257 5 0 816 1073.0 0 4 1 0 1073 0 0.000000 1073 1 0 1 0 2 1 3 5 7 0 2 1 340.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
390 1851 60 3 50 4320.000000 1 3 0 0 4 0 7 3 3 0 4 6 7 1946 1950 3 0 7 8 3 4 1 3 3 3 1 342 5 0 405 747.0 0 0 1 3 892 747 0.000000 1639 0 0 1 1 3 1 2 6 7 1 6 1 240.0 3 4 2 0.0 50 0 0.000000 0.000000 0 8 6
391 1852 20 3 62 7172.000000 1 3 3 0 4 0 7 3 3 0 2 5 6 1954 1954 1 0 11 13 3 4 1 2 3 3 1 173 5 0 916 1089.0 1 4 1 3 1089 0 0.000000 1089 1 0 1 0 3 1 3 5 7 1 6 1 252.0 3 4 1 328.0 0 0 0.000000 0.000000 0 8 6
392 1853 120 3 42 8881.000000 1 3 3 0 4 0 7 3 3 4 2 5 5 1984 1984 1 0 6 6 2 4 1 2 3 2 2 552 0 393 104 1049.0 0 4 1 3 1049 0 0.000000 1049 1 0 2 0 2 1 2 5 7 0 2 1 266.0 3 4 2 0.0 105 0 0.000000 0.000000 0 8 6
393 1854 80 3 74 1042.000000 1 0 3 0 4 0 20 1 3 0 6 7 6 1990 1991 1 0 6 6 2 4 2 2 3 3 2 460 0 286 308 1054.0 0 2 1 3 1061 0 0.000000 1061 1 0 1 1 1 1 2 4 7 0 2 2 462.0 3 4 2 114.0 36 0 0.000000 0.000000 0 8 6
394 1855 80 3 66 8267.000000 1 0 3 0 4 0 20 3 3 0 6 6 5 1983 1983 1 0 11 13 2 4 1 2 3 0 4 70 2 430 0 520.0 0 2 1 3 1338 0 0.000000 1338 0 0 1 1 2 1 2 5 1 1 2 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
395 1856 60 3 85 1496.000000 1 3 3 0 0 0 20 3 3 0 4 7 5 1993 1994 1 0 10 12 2 2 2 2 1 3 2 474 5 0 605 1079.0 0 0 1 3 1079 800 0.000000 1879 1 0 2 1 3 1 2 8 7 1 2 2 473.0 3 4 2 400.0 100 66 0.000000 0.000000 0 8 6
396 1857 70 3 120 7922.000000 1 3 0 0 2 0 20 1 3 0 4 5 7 1880 2007 1 0 6 6 2 4 2 1 2 2 3 0 2 0 0 0.0 0 0 1 3 1288 728 0.000000 2016 0 0 1 0 4 1 3 7 5 1 2 2 576.0 3 4 1 0.0 0 0 0.000000 0.000000 0 8 6
397 1858 90 3 64 6550.000000 1 3 3 0 4 0 20 1 3 2 4 5 5 1979 1979 1 0 6 6 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 1 3 1114 1114 0.000000 2228 0 0 2 0 6 2 3 8 7 0 6 2 720.0 3 4 2 73.0 0 0 0.000000 0.000000 0 8 3
398 1859 90 3 64 13715.000000 1 3 0 0 4 0 20 3 3 2 2 5 5 1979 1979 1 0 6 6 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 1 3 1535 0 0.000000 1535 0 0 2 0 4 2 3 8 7 0 2 2 400.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 3
399 1860 90 3 64 4217.000000 1 3 3 0 4 0 20 1 3 2 5 5 5 1979 1979 1 0 8 9 3 4 1 2 3 0 2 1094 5 0 0 1094.0 0 4 1 3 1229 0 0.000000 1229 2 0 0 2 2 2 2 6 7 2 6 2 672.0 3 4 2 120.0 0 0 0.000000 0.000000 0 8 3
400 1861 90 3 64 6221.000000 1 3 0 0 4 0 20 3 3 2 2 5 5 1979 1979 1 0 6 6 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 1 3 1513 0 0.000000 1513 0 0 2 0 4 2 3 8 7 0 2 2 400.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 3
401 1862 90 3 68 15045.000000 1 3 3 0 4 0 20 3 3 2 4 7 5 2000 2000 3 0 10 12 3 4 2 0 3 3 2 820 5 0 348 1168.0 0 0 1 3 1168 1619 0.000000 2787 2 0 4 2 6 2 3 8 7 2 4 4 820.0 3 4 2 312.0 0 0 0.000000 0.000000 0 8 6
402 1863 90 3 68 10973.000000 1 3 3 0 4 0 20 1 3 2 4 7 5 2000 2000 3 0 10 12 3 4 2 0 3 3 2 820 5 0 348 1168.0 0 0 1 3 1168 1619 0.000000 2787 2 0 4 2 6 2 3 8 7 2 4 4 820.0 3 4 2 312.0 0 0 0.000000 0.000000 0 8 6
403 1864 90 3 68 12414.000000 1 3 3 0 4 0 20 1 3 2 4 7 5 2000 2000 3 0 10 12 3 4 2 0 3 3 2 820 5 0 348 1168.0 0 0 1 3 1168 1619 0.000000 2787 2 0 4 2 6 2 3 8 7 2 4 4 820.0 3 4 2 312.0 0 0 0.000000 0.000000 0 8 6
404 1865 20 3 84 16227.000000 1 3 3 0 4 0 5 3 3 0 2 9 5 2009 2009 3 0 10 12 0 4 2 0 3 1 2 1021 5 0 534 1555.0 0 0 1 3 1680 0 0.000000 1680 1 0 1 1 1 1 0 8 7 1 2 3 1138.0 3 4 2 185.0 24 0 0.000000 0.000000 0 6 7
405 1866 20 3 65 11243.000000 1 0 3 0 4 0 5 3 3 0 2 9 5 2008 2008 1 0 10 12 0 4 2 0 3 1 2 1104 5 0 616 1720.0 0 0 1 3 1720 0 0.000000 1720 1 0 2 0 3 1 0 8 7 1 2 3 846.0 3 4 2 208.0 104 0 0.000000 0.000000 0 8 6
406 1867 20 3 71 12014.000000 1 3 3 0 4 0 5 3 3 0 2 8 5 2008 2008 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1468 1468.0 0 0 1 3 1468 0 0.000000 1468 0 0 2 0 3 1 2 6 7 1 2 3 904.0 3 4 2 192.0 142 0 0.000000 0.000000 0 8 6
407 1868 20 3 77 12425.000000 1 0 3 0 4 0 5 3 3 0 2 8 5 2007 2008 3 0 10 12 2 4 2 0 3 0 2 1359 5 0 479 1838.0 0 0 1 3 1838 0 0.000000 1838 1 0 2 0 3 1 2 7 7 2 2 2 524.0 3 4 2 154.0 222 0 0.000000 0.000000 0 8 6
408 1869 20 3 64 8757.000000 1 3 3 0 4 0 5 3 3 0 2 7 5 2007 2007 1 0 10 12 2 4 2 2 3 0 2 902 5 0 380 1282.0 0 0 1 3 1290 0 0.000000 1290 1 0 2 0 2 1 2 6 7 1 2 2 662.0 3 4 2 168.0 0 0 0.000000 0.000000 0 8 6
409 1870 20 3 95 1453.000000 1 0 3 0 0 0 5 3 3 0 2 8 5 2008 2008 1 0 10 12 2 4 2 2 3 0 2 872 5 0 382 1254.0 0 0 1 3 1254 0 0.000000 1254 1 0 2 0 2 1 2 5 7 0 2 3 810.0 3 4 2 168.0 92 0 0.000000 0.000000 0 8 6
410 1871 20 3 78 11597.000000 1 3 3 0 4 0 5 3 3 0 2 8 5 2005 2006 1 0 10 12 2 4 2 0 3 1 2 24 5 0 1474 1498.0 0 0 1 3 1498 0 0.000000 1498 0 0 2 0 3 1 2 7 7 1 2 3 844.0 3 4 2 144.0 98 0 0.000000 0.000000 0 8 6
411 1872 60 3 79 14013.000000 1 0 3 0 4 0 5 3 3 0 4 6 5 2005 2006 1 0 10 12 2 4 2 2 3 0 5 0 5 0 704 704.0 0 0 1 3 704 718 0.000000 1422 0 0 2 1 3 1 2 7 7 1 2 2 440.0 3 4 2 36.0 28 0 0.000000 0.000000 0 8 6
412 1873 60 3 68 3988.000000 1 0 1 0 1 1 4 3 3 0 4 7 5 1992 1993 1 0 10 12 2 4 2 2 3 0 2 800 5 0 649 1449.0 0 2 1 3 944 815 0.000000 1759 1 0 2 1 3 1 2 7 7 1 2 2 525.0 3 4 2 150.0 193 0 0.000000 0.000000 0 8 6
413 1874 20 3 65 8946.000000 1 3 2 0 4 1 5 3 3 0 2 5 7 1994 1994 1 0 10 12 3 2 2 3 3 3 0 755 5 0 235 990.0 0 0 1 3 990 0 0.000000 990 1 0 1 0 3 1 3 5 7 0 2 1 440.0 3 4 2 66.0 0 0 0.000000 92.000000 0 8 6
414 1875 20 3 65 11495.000000 1 1 2 0 4 0 5 5 3 0 2 7 5 1998 1998 1 0 10 12 3 4 2 2 3 2 2 950 5 0 513 1463.0 0 0 1 3 1463 0 0.000000 1463 1 0 2 0 3 1 3 5 7 0 2 2 539.0 3 4 2 0.0 81 0 0.000000 0.000000 0 8 6
417 1878 20 3 75 11298.000000 1 3 3 0 4 0 5 3 3 0 2 7 5 2001 2001 1 0 10 12 2 4 2 2 3 2 2 24 5 0 1468 1492.0 0 0 1 3 1492 0 0.000000 1492 0 0 2 0 3 1 2 6 7 1 2 2 608.0 3 4 2 0.0 114 0 0.000000 153.453113 0 8 4
418 1879 20 3 68 8729.000000 1 0 3 0 1 0 5 3 3 0 2 5 5 1978 1978 1 0 7 8 3 4 0 2 3 0 2 625 5 0 282 907.0 0 4 1 3 907 0 0.000000 907 0 0 1 0 3 1 3 5 7 0 2 1 343.0 3 4 2 72.0 0 0 0.000000 0.000000 0 8 6
419 1880 20 3 76 11773.000000 1 0 3 0 4 0 5 3 3 0 2 5 7 1979 1979 1 0 6 6 3 4 1 3 3 3 0 710 1 72 132 914.0 0 4 1 3 914 0 0.000000 914 1 0 1 0 2 1 3 5 7 0 2 2 444.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
420 1881 20 3 90 7895.000000 1 3 3 0 0 0 5 3 3 0 2 7 5 2002 2002 3 0 10 12 2 4 2 2 3 0 2 1234 5 0 335 1569.0 0 0 1 3 1611 0 0.000000 1611 1 0 2 0 3 1 2 6 7 0 2 3 1231.0 3 4 2 262.0 93 0 0.000000 0.000000 0 8 6
421 1882 60 3 68 1186.000000 1 0 3 0 4 0 5 3 3 0 4 8 5 2003 2003 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1068 1068.0 0 0 1 3 1068 1116 0.000000 2184 0 0 2 1 4 1 2 8 7 1 4 2 570.0 3 4 2 192.0 132 0 0.000000 0.000000 0 8 6
424 1885 20 3 90 6030.000000 1 3 3 0 3 0 5 1 3 0 2 8 5 1999 2000 1 0 10 12 2 4 2 2 3 1 2 1246 5 0 216 1462.0 0 0 1 3 1513 0 0.000000 1513 1 0 2 0 2 1 2 5 7 1 2 2 521.0 3 4 2 135.0 34 0 0.000000 0.000000 0 8 6
425 1886 20 3 68 10725.000000 1 3 3 0 4 0 5 3 3 0 2 8 5 2002 2003 3 0 6 6 2 4 2 0 3 1 2 1360 5 0 462 1822.0 0 0 1 3 1828 0 0.000000 1828 1 0 2 0 3 1 2 7 7 1 2 2 523.0 3 4 2 194.0 144 0 0.000000 0.000000 0 8 6
426 1887 20 3 70 9080.000000 1 3 3 0 4 0 5 3 3 0 2 7 5 1997 1998 1 0 10 12 2 4 2 2 3 0 2 1111 5 0 306 1417.0 0 0 1 3 1417 0 0.000000 1417 1 0 2 0 3 1 2 7 7 1 2 2 511.0 3 4 2 60.0 0 0 0.000000 117.000000 0 8 6
427 1888 20 3 85 8513.000000 1 3 3 0 4 0 5 3 3 0 2 8 5 2007 2007 1 0 10 12 2 4 2 2 3 0 2 1478 5 0 100 1578.0 0 0 1 3 1602 0 0.000000 1602 1 0 2 0 3 1 2 7 7 1 2 3 810.0 3 4 2 0.0 48 0 0.000000 153.453113 0 8 6
429 1890 20 3 80 13322.000000 1 3 3 0 4 0 7 3 3 0 2 4 6 1960 1971 1 0 6 6 3 4 1 3 3 3 2 399 5 0 615 1014.0 0 4 1 3 1149 0 0.000000 1149 1 0 1 0 3 1 3 7 0 0 1 1 544.0 3 4 2 0.0 240 0 0.000000 0.000000 0 8 6
430 1891 180 4 35 -755.000000 1 3 3 0 4 0 7 2 2 4 5 6 5 2005 2006 1 0 10 12 3 4 5 2 3 1 2 547 5 0 0 547.0 0 2 1 3 1072 0 0.000000 1072 1 0 1 0 2 1 3 5 7 0 3 2 525.0 3 4 2 0.0 28 0 0.000000 0.000000 0 8 5
431 1892 20 3 64 7448.000000 1 3 1 0 4 1 7 3 3 0 2 4 5 1959 1959 1 0 0 0 3 4 1 3 3 3 3 332 4 243 301 876.0 0 4 1 0 876 0 0.000000 876 0 0 1 0 3 1 3 5 7 0 6 1 320.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
432 1893 20 3 70 10877.000000 1 3 3 0 4 0 7 3 3 0 2 5 5 1950 1950 1 0 7 8 3 4 1 1 3 2 4 1078 5 0 0 1078.0 0 4 1 0 1368 0 0.000000 1368 1 0 1 0 3 1 3 6 0 0 2 1 195.0 3 4 2 0.0 41 66 0.000000 0.000000 0 8 6
433 1894 90 3 65 1880.000000 1 3 3 0 4 0 7 3 3 2 2 5 5 1959 1959 3 0 10 12 3 4 1 3 3 3 5 0 5 0 1678 1678.0 0 4 1 3 1678 0 0.000000 1678 0 0 2 0 6 2 3 10 7 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 6
434 1895 20 3 70 4346.000000 1 3 3 0 4 0 7 3 3 0 2 5 5 1956 1956 3 0 6 6 3 4 1 3 3 3 4 546 5 0 604 1150.0 0 0 1 3 1560 0 0.000000 1560 0 0 1 0 2 1 3 7 0 1 2 1 313.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
436 1897 50 2 70 7835.000000 1 3 3 0 0 0 18 3 3 0 0 5 4 1938 1950 1 0 7 8 3 4 2 3 0 3 3 832 5 0 0 832.0 0 4 1 3 832 436 0.000000 1268 0 0 1 1 3 1 3 7 7 2 3 1 250.0 3 4 2 0.0 0 55 0.000000 0.000000 0 8 1
437 1898 70 3 43 7156.000000 1 3 0 0 4 0 18 1 3 0 4 6 6 1935 1950 1 0 11 13 3 4 0 3 3 3 5 0 5 0 583 583.0 0 2 1 1 647 595 0.000000 1242 0 0 1 1 3 1 3 6 7 1 6 1 180.0 0 4 2 329.0 96 0 0.000000 0.000000 0 8 6
438 1899 30 3 64 6225.000000 1 3 3 0 4 0 6 3 3 0 2 6 8 1916 2000 1 0 9 11 2 4 0 3 3 3 5 0 5 0 816 816.0 0 0 1 3 1232 0 0.000000 1232 0 0 1 0 3 1 2 6 7 1 6 2 440.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
439 1900 70 3 53 14232.000000 1 3 3 0 4 0 6 3 3 0 4 7 8 1918 1990 2 0 11 13 3 4 0 3 0 2 5 0 5 0 600 600.0 0 0 1 3 628 600 0.000000 1228 0 0 1 0 3 1 3 6 7 1 6 1 215.0 0 4 2 0.0 113 0 0.000000 153.453113 0 8 6
440 1901 50 3 60 9046.000000 1 3 1 0 4 1 6 3 3 0 0 5 6 1940 1950 1 0 11 13 3 4 1 3 3 3 0 728 5 0 112 840.0 0 0 1 3 840 727 0.000000 1567 1 0 1 1 2 1 3 6 1 2 6 2 440.0 3 4 2 0.0 21 66 0.000000 0.000000 0 8 6
441 1902 20 3 80 1790.000000 1 0 1 0 4 0 6 3 3 0 2 5 4 1960 1960 1 0 7 8 3 4 1 3 3 3 4 793 5 0 480 1273.0 0 0 1 3 1273 0 0.000000 1273 0 0 1 0 2 1 3 5 7 0 2 1 307.0 3 4 2 483.0 0 0 0.000000 115.000000 0 8 6
442 1903 90 3 68 9221.000000 1 0 1 0 0 0 6 3 3 2 3 7 6 1940 1950 1 0 11 13 3 4 0 3 3 3 3 246 5 0 674 920.0 0 0 1 3 1240 1240 0.000000 2480 0 0 2 1 5 2 3 13 7 2 6 2 400.0 3 4 2 0.0 0 57 0.000000 0.000000 0 8 6
443 1904 20 3 70 13798.000000 1 3 3 0 4 0 6 1 3 0 2 5 6 1954 1954 1 0 3 3 3 2 0 3 3 2 4 154 0 430 264 1112.0 0 0 1 3 1112 0 0.000000 1112 1 0 1 0 2 1 3 6 7 1 2 1 390.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 4
444 1905 20 3 90 10398.000000 1 0 3 0 4 0 6 3 3 0 2 6 6 1960 1960 1 0 6 9 3 4 1 3 3 3 3 65 1 430 621 1561.0 0 4 1 3 1561 0 0.000000 1561 1 0 2 0 3 1 3 6 7 1 2 2 463.0 3 4 2 0.0 148 0 0.000000 120.000000 0 8 6
445 1906 50 3 78 14335.000000 1 3 0 0 4 0 6 3 3 0 0 5 7 1949 2005 1 0 2 2 3 4 0 3 3 3 1 312 4 430 248 1067.0 1 1 0 3 986 537 0.000000 1523 1 0 2 0 3 1 1 7 4 1 2 1 295.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
446 1907 20 3 100 13535.000000 1 3 0 0 0 1 6 4 3 0 2 6 5 1954 1954 1 0 6 6 3 4 2 3 3 0 3 784 1 430 91 1310.0 0 0 1 3 1906 0 0.000000 1906 1 0 1 1 3 1 3 6 7 2 3 2 576.0 3 4 2 0.0 201 0 0.000000 0.000000 0 8 6
447 1908 160 4 24 8110.000000 1 3 3 0 4 0 1 2 2 3 4 6 6 1980 1980 1 0 7 8 3 4 1 3 3 3 5 0 5 0 516 516.0 0 4 1 3 516 516 0.000000 1032 0 0 1 0 2 1 3 5 7 1 6 2 452.0 3 4 2 279.0 0 0 0.000000 0.000000 0 8 5
448 1909 160 4 24 8408.000000 1 3 3 0 4 0 1 2 2 4 4 6 6 1980 1992 1 0 7 8 3 2 1 2 3 2 0 471 5 0 90 561.0 0 4 1 3 561 668 0.000000 1229 1 0 1 1 2 1 2 5 7 1 2 2 462.0 3 4 2 176.0 0 0 0.000000 0.000000 0 8 5
449 1910 160 4 24 12620.000000 1 3 3 0 4 0 1 2 2 3 4 6 6 1980 1980 1 0 7 8 3 4 1 2 3 3 5 0 5 0 561 561.0 0 4 1 3 561 668 0.000000 1229 0 0 1 1 2 1 3 5 7 1 2 2 462.0 3 4 2 154.0 0 0 0.000000 0.000000 0 8 5
450 1911 80 3 68 6453.000000 1 0 3 0 4 0 6 3 3 0 6 6 6 1986 1986 1 0 10 12 3 2 1 3 3 3 0 454 5 0 118 572.0 0 2 1 3 1182 800 0.000000 1982 1 0 2 1 3 1 3 6 7 1 4 2 501.0 3 4 2 400.0 112 0 0.000000 0.000000 0 8 6
451 1912 20 3 68 11083.000000 1 3 0 0 4 0 6 3 3 0 2 7 9 1971 2009 3 0 3 3 2 2 1 2 3 3 2 803 0 419 581 1803.0 0 4 1 3 2365 0 0.000000 2365 1 0 2 0 3 1 0 7 0 2 2 2 551.0 3 4 2 200.0 144 0 0.000000 0.000000 0 8 6
452 1913 70 4 50 7909.000000 1 3 0 0 4 0 9 2 2 0 4 5 6 1900 1993 2 0 0 0 3 4 0 3 3 3 5 0 5 0 760 760.0 0 0 0 3 928 928 62.304757 2168 0 0 2 0 5 1 2 11 7 0 6 2 576.0 3 4 2 467.0 160 66 0.000000 0.000000 0 8 5
453 1914 30 0 60 1895.000000 1 3 3 0 4 0 9 3 3 0 2 4 6 1925 1950 1 0 7 8 3 4 0 3 3 3 5 0 5 0 572 572.0 0 1 0 2 572 0 0.000000 572 0 0 1 0 2 1 3 4 7 0 6 1 200.0 3 4 0 0.0 0 66 0.000000 0.000000 0 8 6
454 1915 120 4 44 13550.000000 1 0 1 0 4 1 6 2 2 4 2 8 5 2007 2008 3 0 5 5 0 4 2 0 3 1 2 1476 5 0 120 1596.0 0 0 1 3 1648 0 0.000000 1648 1 1 2 0 2 1 0 5 7 1 2 2 482.0 3 4 2 162.0 53 0 37.972624 0.000000 0 6 7
455 1916 30 2 109 15722.000000 0 3 3 0 4 0 9 3 3 0 2 2 4 1910 1950 1 0 11 13 1 1 1 1 2 2 3 0 2 0 0 0.0 0 4 0 0 810 0 0.000000 810 0 0 1 0 1 1 3 4 0 0 6 1 280.0 3 4 0 119.0 24 0 0.000000 0.000000 0 3 6
456 1917 60 3 75 894.000000 1 3 3 0 4 0 11 3 3 0 4 8 5 2000 2001 1 0 5 5 2 4 2 2 3 3 0 445 1 250 412 1107.0 0 0 1 3 1040 1012 0.000000 2052 0 0 2 1 3 1 2 7 7 1 4 3 642.0 3 4 2 210.0 91 0 0.000000 0.000000 0 8 6
457 1918 85 3 75 10013.000000 1 3 3 0 4 0 11 3 3 0 5 6 6 1977 1977 1 0 8 9 3 4 1 3 3 0 0 767 5 0 135 902.0 0 0 1 3 926 0 0.000000 926 1 0 1 0 2 1 3 5 7 1 2 1 351.0 3 4 2 319.0 0 0 0.000000 0.000000 0 8 6
458 1919 85 3 72 8174.000000 1 3 0 0 4 0 11 3 3 0 5 6 7 1977 1977 1 0 8 9 3 4 1 2 3 0 2 841 3 116 0 957.0 0 4 1 3 1287 0 0.000000 1287 1 0 1 1 2 1 3 5 7 2 2 2 541.0 3 4 2 302.0 39 0 0.000000 120.000000 0 8 6
459 1920 20 3 82 10690.000000 1 3 3 0 4 0 11 3 3 0 2 5 5 1991 1991 1 0 6 6 3 4 2 2 3 3 1 55 5 0 1527 1582.0 0 4 1 3 1595 0 0.000000 1595 1 0 2 0 2 1 3 5 7 0 6 2 672.0 3 4 2 0.0 0 0 0.000000 0.000000 0 0 1
460 1921 20 3 113 9534.000000 1 0 1 0 0 0 23 3 3 0 2 9 5 2008 2008 1 0 5 5 0 4 1 0 3 1 2 1758 5 0 432 2190.0 0 0 1 3 2036 0 0.000000 2036 1 0 2 0 3 1 0 9 7 1 2 3 780.0 3 4 2 90.0 154 0 0.000000 0.000000 0 8 6
461 1922 20 3 79 7265.000000 1 0 1 0 0 0 23 3 3 0 2 9 5 2008 2008 1 0 5 5 0 4 2 0 3 1 2 1115 5 0 526 1641.0 0 0 1 3 1641 0 0.000000 1641 1 0 2 0 3 1 0 7 7 0 2 3 885.0 3 4 2 0.0 95 0 0.000000 0.000000 0 8 6
462 1923 60 3 68 14530.000000 1 0 3 0 1 0 23 3 3 0 4 6 8 1980 2006 1 0 7 8 3 2 2 2 3 3 0 462 5 0 250 712.0 0 0 1 3 1375 862 0.000000 2237 0 0 2 1 3 1 2 7 7 1 4 2 440.0 3 4 2 305.0 24 0 0.000000 0.000000 0 8 6
463 1924 80 3 125 9761.000000 1 0 3 0 0 0 23 3 3 0 6 7 5 1987 1989 3 0 8 9 3 4 2 2 3 1 2 904 0 430 117 1645.0 0 0 1 3 1479 0 0.000000 1479 2 0 2 1 3 1 2 7 0 1 2 2 578.0 3 4 2 224.0 238 0 0.000000 0.000000 0 8 6
464 1925 60 3 75 18417.000000 1 0 3 0 0 0 23 3 3 0 4 7 5 2003 2003 1 0 10 12 2 4 2 2 3 3 5 0 5 0 912 912.0 0 0 1 3 1072 942 0.000000 2014 0 0 2 1 3 1 2 9 7 0 2 2 486.0 3 4 2 124.0 114 0 0.000000 0.000000 0 8 1
465 1926 20 3 85 9972.000000 1 0 1 0 4 0 23 3 3 0 2 9 5 2007 2007 3 0 5 5 0 4 2 0 3 1 2 1640 5 0 338 1978.0 0 0 1 3 1978 0 0.000000 1978 1 0 2 0 2 1 0 7 7 1 2 3 920.0 3 4 2 308.0 52 0 0.000000 0.000000 0 8 6
467 1928 20 3 83 15081.000000 1 0 3 0 4 1 11 3 3 0 2 5 5 1969 2000 3 0 6 6 3 4 1 3 3 3 1 594 5 0 594 1188.0 0 0 1 3 1404 0 0.000000 1404 0 0 2 0 3 1 3 7 7 1 2 2 504.0 3 4 2 0.0 16 0 0.000000 0.000000 0 8 6
468 1929 85 3 50 14441.000000 1 0 3 0 4 0 11 3 3 0 5 5 8 1972 1972 1 0 7 8 3 4 1 2 3 0 2 720 1 76 0 796.0 0 2 1 3 796 0 0.000000 796 0 1 1 0 2 1 3 4 7 0 6 1 336.0 3 4 2 138.0 0 0 0.000000 0.000000 0 8 6
469 1930 80 3 62 4206.000000 1 3 3 0 4 0 11 3 3 0 6 6 5 1993 1996 1 0 6 6 3 2 1 2 3 0 4 114 2 270 0 384.0 0 0 1 3 1091 0 0.000000 1091 0 1 1 0 2 1 3 5 7 0 2 1 429.0 3 4 2 280.0 0 0 0.000000 0.000000 0 8 6
470 1931 85 3 70 1484.000000 1 3 3 0 4 0 11 3 3 0 5 5 6 1992 1993 1 0 6 14 3 4 2 2 3 0 2 718 3 110 0 828.0 0 4 1 3 883 0 0.000000 883 1 0 1 0 2 1 3 5 7 1 6 2 698.0 3 4 2 100.0 32 0 0.000000 0.000000 0 8 6
472 1933 60 3 70 3924.000000 1 0 3 0 4 1 11 3 3 0 4 5 7 1969 1969 1 0 10 12 2 0 1 3 3 1 1 496 3 288 0 784.0 0 0 1 3 784 848 0.000000 1632 0 0 1 1 4 1 3 7 7 1 2 2 898.0 3 4 2 0.0 173 66 0.000000 0.000000 0 8 6
478 1939 120 3 45 4036.000000 1 0 3 0 0 0 22 3 3 0 2 8 5 1997 1997 1 0 5 5 2 4 2 0 3 2 2 656 5 0 1008 1664.0 0 0 1 3 1682 0 0.000000 1682 1 0 1 1 1 1 2 6 0 1 2 2 528.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
479 1940 120 3 39 8917.000000 1 0 1 0 4 0 22 3 3 4 2 8 5 1992 1992 1 0 6 6 2 4 2 2 3 2 5 0 5 0 1280 1280.0 0 0 1 3 1280 0 0.000000 1280 0 0 2 0 2 1 2 5 7 0 2 2 506.0 3 4 2 0.0 82 0 0.000000 144.000000 0 8 6
480 1941 60 3 73 13491.000000 1 0 3 0 0 0 8 3 3 0 4 6 5 1998 1998 1 0 10 12 3 4 2 2 3 3 5 0 5 0 932 932.0 0 2 1 3 932 701 0.000000 1633 0 0 2 1 3 1 3 7 7 1 2 2 460.0 3 4 2 0.0 39 0 0.000000 0.000000 0 8 4
482 1943 120 3 65 11109.000000 1 0 1 0 4 1 22 3 3 4 2 8 5 1989 1989 1 0 6 6 2 4 2 2 3 1 2 319 5 0 1018 1337.0 0 2 1 3 1337 0 0.000000 1337 1 0 2 0 2 1 2 5 7 1 2 2 462.0 3 4 2 0.0 73 66 0.000000 0.000000 0 8 6
483 1944 60 3 101 4618.000000 1 0 1 0 0 0 22 3 3 0 4 8 5 2005 2005 1 0 10 12 2 4 2 0 3 1 2 16 5 0 1152 1168.0 0 0 1 3 1168 1332 0.000000 2500 0 0 3 1 5 1 0 9 7 1 4 3 683.0 3 4 2 192.0 32 0 0.000000 0.000000 0 8 6
484 1945 20 3 53 8023.000000 1 0 1 0 1 0 22 3 3 0 2 9 5 2004 2004 3 0 10 12 0 4 2 0 3 1 2 1337 5 0 547 1884.0 0 0 1 3 1884 0 0.000000 1884 1 0 2 0 2 1 0 7 7 1 2 3 670.0 3 4 2 214.0 76 0 0.000000 0.000000 0 8 6
485 1946 20 3 68 6350.000000 1 0 0 0 2 0 8 1 3 0 2 6 2 1952 1952 3 0 3 3 3 4 1 3 3 3 5 0 5 0 1632 1632.0 0 4 1 0 1474 0 0.000000 1474 0 0 1 0 3 1 3 7 1 2 2 2 495.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
486 1947 120 3 60 13221.000000 1 3 1 0 4 0 22 5 5 4 2 9 5 2007 2007 3 0 7 8 0 4 2 0 3 1 2 1034 5 0 676 1710.0 0 0 1 3 1710 0 0.000000 1710 1 0 2 0 2 1 0 6 7 1 2 2 557.0 3 4 2 156.0 48 0 0.000000 0.000000 0 8 6
487 1948 20 3 68 23178.000000 1 0 3 0 4 0 8 3 3 0 2 6 5 1950 1950 3 0 0 0 3 4 1 3 3 3 5 0 5 0 1488 1488.0 0 2 1 3 1488 0 0.000000 1488 0 0 2 1 3 1 3 6 7 1 2 2 738.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 4
488 1949 20 3 63 15788.000000 1 0 3 0 4 0 14 3 3 0 2 7 6 1988 1988 1 0 8 13 2 4 1 2 1 2 2 983 5 0 692 1675.0 0 0 1 3 1688 0 0.000000 1688 1 0 2 0 2 1 0 6 7 1 2 2 528.0 3 4 2 0.0 48 0 0.000000 141.000000 0 8 6
490 1951 20 3 56 20999.000000 1 0 3 0 1 0 14 3 3 0 2 7 5 1978 1978 3 0 8 9 2 2 1 2 3 3 2 1206 4 186 656 2048.0 0 4 1 3 2064 0 0.000000 2064 1 0 2 0 3 1 2 7 7 2 2 2 550.0 3 4 2 200.0 0 0 0.000000 0.000000 0 8 6
491 1952 20 3 85 14111.000000 1 3 3 0 4 0 14 3 3 0 2 7 5 1979 1979 3 0 8 9 2 4 1 2 0 3 0 864 3 430 469 1782.0 0 4 1 3 1782 0 0.000000 1782 0 1 2 0 3 1 2 6 7 1 2 2 551.0 3 4 2 467.0 0 0 0.000000 0.000000 0 8 6
492 1953 20 3 90 17853.000000 1 3 3 0 0 0 14 3 3 0 2 6 5 1976 1976 3 0 6 6 3 4 2 2 3 3 0 890 4 48 273 1211.0 0 4 1 3 1211 0 0.000000 1211 1 0 2 0 3 1 2 6 7 1 2 2 461.0 3 4 2 0.0 0 0 37.972624 0.000000 0 8 6
493 1954 60 3 80 3653.000000 1 3 3 0 4 0 14 3 3 0 4 7 6 1980 1988 1 0 6 6 3 4 1 2 3 2 5 0 5 0 738 738.0 0 4 1 3 1277 767 0.000000 2044 0 0 2 1 3 1 3 7 0 1 2 2 489.0 3 4 2 28.0 73 0 0.000000 0.000000 0 8 6
494 1955 60 3 75 4387.000000 1 3 3 0 4 0 14 3 3 0 4 5 6 1969 1969 1 0 10 12 3 4 1 3 0 3 1 280 5 0 440 720.0 0 2 1 3 720 588 0.000000 1308 0 0 1 1 3 1 3 7 7 0 6 2 484.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
495 1956 60 3 68 15094.000000 1 0 3 0 0 0 14 3 3 0 4 7 7 1978 1978 4 2 8 9 2 4 2 2 3 3 0 988 5 0 432 1420.0 0 0 1 3 1420 1420 0.000000 2840 0 1 2 1 4 1 2 8 1 2 2 4 1314.0 3 2 2 0.0 16 0 0.000000 153.453113 0 8 6
497 1958 60 3 68 10701.000000 1 0 3 0 3 0 14 3 3 0 4 8 5 1996 1996 1 0 10 12 2 4 2 2 3 3 2 1023 5 0 213 1236.0 0 0 1 3 1236 1104 0.000000 2340 1 0 2 1 4 1 2 9 7 1 2 3 787.0 3 4 2 192.0 180 66 0.000000 0.000000 0 8 6
498 1959 90 3 60 13268.000000 1 3 3 0 2 0 12 3 3 2 4 5 5 1974 1974 1 0 10 12 3 4 1 2 3 2 5 0 5 0 896 896.0 0 4 1 3 896 896 0.000000 1792 0 0 2 2 4 2 3 8 7 0 6 2 480.0 3 4 2 0.0 45 0 0.000000 0.000000 0 8 6
499 1960 20 3 68 10208.000000 1 3 3 0 2 0 12 3 3 0 2 4 6 1969 1969 1 0 6 6 3 4 1 2 3 2 4 252 5 0 684 936.0 0 4 1 3 936 0 0.000000 936 0 0 1 0 2 1 3 4 7 0 2 1 288.0 3 4 2 16.0 0 0 0.000000 0.000000 0 0 6
500 1961 20 3 63 9304.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1971 1971 3 0 7 8 3 4 1 2 3 3 4 119 0 430 132 864.0 0 4 1 3 864 0 0.000000 864 1 0 1 0 3 1 3 5 7 0 6 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
501 1962 160 4 21 13022.000000 1 3 3 0 4 0 2 2 2 3 4 6 5 1973 1973 1 0 6 6 3 4 1 3 3 3 3 458 5 0 25 483.0 0 4 1 3 483 504 0.000000 987 0 1 1 1 2 1 3 5 7 0 6 1 264.0 3 4 2 52.0 0 0 0.000000 0.000000 0 8 5
502 1963 160 4 21 11804.000000 1 3 3 0 4 0 2 2 2 3 4 6 6 1972 1972 1 0 6 6 3 4 1 3 3 3 3 483 5 0 0 483.0 0 2 1 3 483 504 0.000000 987 0 0 1 1 2 1 3 5 7 0 6 1 352.0 3 4 2 411.0 0 0 0.000000 0.000000 0 8 5
503 1964 160 4 21 11925.000000 1 3 3 0 4 0 2 2 2 3 4 5 5 1972 1972 1 0 6 6 3 4 1 3 3 3 4 350 5 0 280 630.0 0 4 1 3 630 672 0.000000 1302 0 0 2 1 3 1 3 6 7 0 6 1 264.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
504 1965 160 3 24 12653.000000 1 3 3 0 2 0 13 3 3 4 4 6 6 1975 1975 1 0 8 2 3 4 1 2 3 3 0 286 3 294 275 855.0 0 2 1 3 855 601 0.000000 1456 0 0 2 1 4 1 3 7 7 0 2 2 460.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
505 1966 120 3 24 2629.000000 1 3 3 0 4 0 13 3 3 3 2 7 6 1977 1977 1 0 8 2 3 4 1 2 3 3 0 378 5 0 677 1055.0 0 1 1 3 1055 0 0.000000 1055 0 0 2 0 2 1 3 4 7 0 2 2 440.0 3 4 2 0.0 38 0 0.000000 0.000000 0 8 6
506 1967 20 3 98 8129.000000 1 3 3 0 4 0 16 3 3 0 2 8 5 2007 2007 3 0 10 12 2 4 2 0 3 3 2 1012 5 0 570 1582.0 0 0 1 3 1582 0 0.000000 1582 1 0 2 0 3 1 2 7 7 0 2 3 905.0 3 4 2 209.0 95 0 0.000000 0.000000 0 6 7
507 1968 20 3 105 15166.000000 1 3 3 0 4 0 16 3 3 0 2 8 5 2007 2007 3 0 10 12 2 4 2 0 3 1 2 1728 1 430 195 2418.0 0 0 1 3 2464 0 0.000000 2464 1 0 2 1 4 1 0 9 7 1 2 3 650.0 3 4 2 358.0 78 0 0.000000 0.000000 0 8 6
508 1969 20 3 104 12850.000000 1 0 3 0 4 0 16 3 3 0 2 9 5 2007 2007 3 0 10 12 0 4 2 0 3 1 2 1375 5 0 575 1950.0 0 0 1 3 1950 0 0.000000 1950 1 0 2 0 2 1 0 7 7 1 2 3 706.0 3 4 2 156.0 207 0 0.000000 0.000000 0 8 6
509 1970 60 3 108 7151.000000 1 3 3 0 4 0 16 3 3 0 4 9 5 2006 2006 3 0 10 12 2 4 2 0 3 1 2 1420 5 0 430 1850.0 0 0 1 3 1850 898 0.000000 2748 1 0 2 1 4 1 0 9 7 1 4 3 850.0 3 4 2 212.0 182 0 0.000000 0.000000 0 8 1
510 1971 60 3 96 17092.000000 1 3 3 0 4 0 16 5 3 0 4 10 5 2005 2006 3 0 5 5 0 4 2 0 3 1 2 1082 5 0 538 1620.0 0 0 1 3 1632 1158 0.000000 2790 1 0 2 1 4 1 0 10 7 1 4 4 1150.0 3 4 2 30.0 200 0 0.000000 153.453113 0 8 6
511 1972 60 3 102 10474.000000 1 0 3 0 4 0 16 3 3 0 4 9 5 2005 2005 1 0 5 5 2 4 2 0 3 0 2 1249 5 0 165 1414.0 0 0 1 3 1414 917 0.000000 2331 1 0 2 1 3 1 0 9 7 1 4 3 1003.0 3 4 2 192.0 63 0 0.000000 0.000000 0 8 6
512 1973 60 3 74 18463.000000 1 3 3 0 4 0 16 3 3 0 4 8 5 2007 2007 3 0 10 12 0 4 2 2 3 0 2 40 5 0 908 948.0 0 0 1 3 948 1140 0.000000 2088 0 0 2 1 4 1 2 10 7 1 4 3 656.0 3 4 2 100.0 24 0 0.000000 0.000000 0 8 6
513 1974 60 3 85 7816.000000 1 0 3 0 4 0 16 3 3 0 4 8 5 2004 2004 1 0 10 12 2 4 2 0 3 3 2 856 5 0 292 1148.0 0 0 1 3 1170 1162 0.000000 2332 1 0 2 1 4 1 0 9 7 1 4 3 756.0 3 4 2 224.0 142 0 0.000000 0.000000 0 8 6
514 1975 20 3 106 936.000000 1 3 1 0 4 1 16 3 3 0 2 10 5 2003 2003 3 0 7 8 0 4 2 0 3 1 2 2257 5 0 278 2535.0 0 0 1 3 2470 0 0.000000 2470 2 0 1 1 1 1 0 7 7 2 2 3 789.0 3 4 2 154.0 65 0 0.000000 153.453113 144 8 6
516 1977 60 3 130 9793.000000 1 3 3 0 4 0 16 3 3 0 4 8 5 2001 2002 1 0 10 12 2 4 2 0 3 2 2 1075 5 0 404 1479.0 0 0 1 3 1515 1134 0.000000 2649 1 0 2 1 4 1 2 10 7 1 2 3 746.0 3 4 2 0.0 60 0 0.000000 0.000000 0 8 6
517 1978 60 3 112 14575.000000 1 0 3 0 0 0 16 3 3 0 4 8 5 2003 2003 1 0 10 12 2 4 2 0 3 1 5 0 5 0 1765 1765.0 0 0 1 3 1804 886 0.000000 2690 0 0 2 1 4 1 2 9 7 1 4 3 795.0 3 4 2 268.0 58 0 0.000000 0.000000 0 8 6
518 1979 120 3 58 17079.000000 1 0 3 0 4 0 16 3 3 4 2 9 5 2008 2008 3 0 7 8 0 4 2 2 3 3 2 372 5 0 1486 1858.0 0 0 1 3 1866 0 0.000000 1866 1 0 2 0 2 1 0 7 7 1 2 3 870.0 3 4 2 0.0 48 0 0.000000 0.000000 0 6 7
519 1980 120 3 135 3971.000000 1 2 3 0 0 0 16 3 3 4 2 7 5 2005 2005 1 0 10 12 2 4 2 2 3 3 2 132 5 0 1347 1367.0 0 0 1 3 1367 0 0.000000 1367 0 0 2 0 2 1 2 6 7 1 2 2 484.0 3 4 2 0.0 33 0 0.000000 0.000000 0 8 6
520 1981 120 3 89 9017.000000 1 0 3 0 4 0 16 3 3 4 2 9 5 2007 2008 3 0 7 8 0 4 2 0 3 3 2 1204 5 0 596 1800.0 0 0 1 3 1800 0 0.000000 1800 1 0 2 0 2 1 0 6 7 1 2 3 944.0 3 4 2 210.0 0 0 0.000000 0.000000 0 6 7
521 1982 120 3 48 19221.000000 1 3 3 0 4 0 16 3 3 4 2 8 5 2006 2007 3 0 7 8 2 4 2 2 3 3 2 846 5 0 496 1342.0 0 0 1 3 1342 0 0.000000 1342 1 0 2 0 2 1 2 6 7 1 2 2 550.0 3 4 2 0.0 35 0 0.000000 0.000000 0 8 6
522 1983 120 3 48 11590.000000 1 3 3 0 4 0 16 3 3 4 2 8 5 2006 2007 3 0 7 8 2 4 2 2 3 3 2 24 5 0 1318 1342.0 0 0 1 3 1342 0 0.000000 1342 0 0 2 0 2 1 2 6 7 1 2 2 550.0 3 4 2 0.0 35 0 0.000000 0.000000 0 8 6
523 1984 160 3 36 2034.000000 1 3 3 0 4 0 16 3 3 3 4 7 5 2003 2004 1 0 10 14 2 4 2 2 3 3 5 0 5 0 764 764.0 0 0 1 3 764 862 0.000000 1626 0 0 2 1 2 1 2 6 7 0 4 2 474.0 3 4 2 0.0 27 0 0.000000 0.000000 0 8 6
524 1985 120 3 68 3921.000000 1 3 3 0 4 0 0 3 3 4 2 7 5 2003 2003 1 0 10 12 2 4 2 2 3 1 2 1073 5 0 342 1415.0 0 0 1 3 1455 0 0.000000 1455 1 0 2 0 2 1 2 6 7 1 2 3 644.0 3 4 2 156.0 20 0 0.000000 144.000000 0 8 6
525 1986 120 4 68 16525.000000 1 3 3 0 4 0 0 2 2 4 2 7 5 2004 2004 3 0 10 12 2 4 2 2 3 3 2 1087 5 0 306 1393.0 0 0 1 3 1576 0 0.000000 1576 1 0 2 0 2 1 2 7 7 1 2 3 668.0 3 4 2 143.0 20 0 0.000000 0.000000 0 8 5
526 1987 20 3 53 15515.000000 1 3 3 0 4 0 0 3 3 0 2 7 5 2007 2008 1 0 12 14 2 4 2 2 3 1 5 0 5 0 1146 1146.0 0 0 1 3 1246 0 0.000000 1246 0 0 2 0 2 1 2 5 7 1 2 2 428.0 3 4 2 100.0 24 0 0.000000 0.000000 0 6 7
530 1991 120 3 55 5658.000000 1 0 3 0 4 0 16 3 3 4 2 7 6 2007 2008 1 0 10 12 2 4 2 2 3 3 2 876 5 0 474 1350.0 0 0 1 3 1358 0 0.000000 1358 1 0 2 0 2 1 2 6 7 1 2 2 484.0 3 4 2 192.0 26 0 0.000000 0.000000 0 6 7
531 1992 60 3 71 10371.000000 1 0 3 0 4 0 8 3 3 0 4 7 5 2000 2001 1 0 10 12 2 4 2 2 3 0 2 544 5 0 438 982.0 0 0 1 3 1008 884 0.000000 1892 0 0 2 1 3 1 3 8 7 1 2 2 431.0 3 4 2 108.0 0 0 0.000000 0.000000 0 8 6
532 1993 60 3 68 16697.000000 1 3 3 0 4 0 8 7 3 0 4 7 5 2002 2002 1 0 10 12 2 4 2 2 3 3 5 0 5 0 707 707.0 0 0 1 3 707 707 0.000000 1414 0 0 2 1 3 1 2 6 7 1 2 2 403.0 3 4 2 100.0 35 0 0.000000 0.000000 0 8 6
533 1994 60 3 41 17807.000000 1 0 3 0 2 0 8 7 3 0 4 7 5 1999 2000 1 0 10 12 2 4 2 2 3 3 2 870 5 0 167 1037.0 0 0 1 3 1037 1285 0.000000 2322 0 0 2 1 4 1 3 8 7 1 4 2 400.0 3 4 2 144.0 44 0 0.000000 0.000000 0 8 6
535 1996 75 3 84 9921.000000 1 3 3 0 4 0 15 3 3 0 3 8 5 1997 1997 3 0 6 6 2 4 2 2 3 3 5 0 5 0 1173 1173.0 0 0 1 3 1182 1017 0.000000 2199 0 0 2 1 3 1 2 9 7 1 2 2 516.0 3 4 2 0.0 131 0 0.000000 0.000000 0 8 6
536 1997 60 3 68 17403.000000 1 3 3 0 2 0 15 3 3 0 4 9 5 2000 2000 3 0 10 12 2 4 2 0 3 2 5 0 5 0 1519 1519.0 0 0 1 3 1533 639 0.000000 2172 0 0 2 1 4 1 0 8 7 1 4 3 687.0 3 4 2 162.0 153 0 0.000000 0.000000 0 8 6
537 1998 20 3 136 10739.000000 1 0 3 0 4 0 15 3 3 0 2 8 5 1998 1998 1 0 10 12 2 4 2 2 3 0 2 132 5 0 322 1982.0 0 0 1 3 2006 0 0.000000 2006 1 0 2 0 2 1 2 5 7 1 2 3 938.0 3 4 2 144.0 33 0 0.000000 0.000000 0 8 6
538 1999 60 3 97 9801.000000 1 0 3 0 1 0 15 3 3 0 4 7 5 1996 1997 1 0 10 12 2 4 2 0 3 3 2 851 5 0 213 1064.0 0 0 1 3 1064 1061 0.000000 2125 1 0 2 1 4 1 2 12 7 2 2 2 576.0 3 4 2 168.0 0 0 0.000000 0.000000 0 8 6
539 2000 60 3 68 15913.000000 1 0 3 0 1 0 15 3 3 0 4 8 7 1995 1995 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1242 1242.0 0 0 1 3 1251 1250 0.000000 2501 0 0 2 1 4 1 2 9 7 1 2 3 751.0 3 4 2 192.0 87 0 0.000000 0.000000 0 8 6
540 2001 60 3 91 8529.000000 1 3 3 0 4 0 15 3 3 0 4 7 5 1993 1994 3 2 10 12 2 4 2 2 3 0 1 228 2 430 0 1080.0 0 0 1 3 1108 1089 0.000000 2197 1 0 2 1 4 1 2 9 7 1 2 3 783.0 3 4 2 385.0 99 0 0.000000 0.000000 0 8 6
541 2002 20 3 74 -2220.000000 1 0 3 0 4 0 21 7 3 0 2 7 5 2006 2006 1 0 10 12 2 4 2 0 3 3 2 1096 5 0 482 1578.0 0 2 1 3 1578 0 0.000000 1578 1 0 2 0 3 1 2 7 7 1 2 3 642.0 3 4 2 0.0 26 0 0.000000 0.000000 0 8 6
542 2003 60 3 73 12094.000000 1 3 3 0 4 0 21 3 3 0 4 8 5 2007 2007 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1341 1341.0 0 0 1 3 1341 520 0.000000 1861 0 0 3 0 3 1 2 7 7 1 4 3 851.0 3 4 2 144.0 60 0 0.000000 0.000000 0 8 6
543 2004 60 3 80 7328.000000 1 3 3 0 4 0 21 3 3 0 4 8 5 2007 2008 3 0 10 12 2 4 2 2 3 0 2 729 5 0 226 955.0 0 0 1 3 955 919 0.000000 1874 1 0 2 1 3 1 2 8 7 1 2 3 880.0 3 4 2 168.0 108 0 0.000000 0.000000 0 6 7
544 2005 20 3 87 23388.000000 1 3 3 0 0 0 21 1 3 0 2 8 5 2006 2007 3 0 10 12 2 4 2 0 3 3 2 666 5 0 794 1460.0 0 0 1 3 1460 0 0.000000 1460 0 0 2 0 3 1 2 6 7 1 2 2 480.0 3 4 2 0.0 20 0 0.000000 0.000000 0 8 6
545 2006 20 1 72 3247.000000 1 3 3 0 4 0 21 3 3 0 2 8 5 2007 2008 1 0 10 12 2 4 2 2 3 3 2 24 5 0 1339 1363.0 0 0 1 3 1372 0 0.000000 1372 0 0 2 0 3 1 2 6 7 0 2 2 588.0 3 4 2 192.0 113 0 0.000000 0.000000 0 6 7
546 2007 20 1 85 15724.000000 1 3 3 0 4 0 21 3 3 0 2 8 5 2007 2007 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1660 1660.0 0 0 1 3 1660 0 0.000000 1660 0 0 2 0 3 1 2 7 7 1 2 3 660.0 3 4 2 133.0 120 0 0.000000 0.000000 0 8 6
547 2008 20 1 62 9763.000000 1 3 3 0 4 0 21 3 3 0 2 7 5 2007 2008 1 0 5 5 2 4 2 2 3 3 2 902 5 0 316 1218.0 0 0 1 3 1218 0 0.000000 1218 1 0 2 0 2 1 2 6 7 0 2 2 462.0 3 4 2 168.0 168 0 0.000000 0.000000 0 6 7
548 2009 60 3 68 6075.000000 1 3 3 0 4 0 20 3 3 0 4 6 5 2003 2003 1 0 10 12 2 4 2 2 3 2 2 80 0 430 200 835.0 0 0 1 3 835 861 0.000000 1696 1 0 2 1 3 1 2 7 7 0 2 2 542.0 3 4 2 143.0 66 0 0.000000 0.000000 0 8 6
549 2010 60 3 67 15576.000000 1 3 3 0 2 0 20 3 3 0 4 7 5 2003 2004 1 0 10 12 2 4 2 2 3 0 5 0 5 0 835 835.0 0 0 1 3 835 828 0.000000 1663 0 0 2 1 3 1 2 8 7 0 2 2 478.0 3 4 2 168.0 68 0 0.000000 0.000000 0 8 6
550 2011 20 3 63 12907.000000 1 3 3 0 4 0 20 6 3 0 2 6 5 2005 2006 1 0 10 12 3 4 2 2 1 3 2 80 5 0 1095 1175.0 0 0 1 3 1175 0 0.000000 1175 1 0 1 0 3 1 2 6 7 0 5 0 0.0 2 0 2 0.0 90 0 0.000000 0.000000 0 8 6
553 2014 60 3 50 4971.000000 1 0 3 0 4 0 20 3 3 0 4 6 5 1993 1994 1 0 6 6 2 4 2 2 3 3 2 602 5 0 284 886.0 0 0 1 3 886 794 0.000000 1680 0 1 2 1 3 1 2 7 7 0 2 2 474.0 3 4 2 144.0 96 0 0.000000 0.000000 0 8 6
554 2015 60 3 43 12904.000000 1 1 3 0 1 0 20 3 3 0 4 7 5 1994 1995 1 0 10 12 2 4 2 2 3 0 2 537 5 0 295 832.0 0 0 1 3 832 825 0.000000 1657 0 0 2 1 3 1 2 6 7 0 2 2 483.0 3 4 2 144.0 74 0 0.000000 0.000000 0 8 6
556 2017 60 3 75 4834.000000 1 3 3 0 0 0 20 3 3 0 4 7 5 1992 1992 1 0 6 6 2 4 2 2 3 3 2 397 5 0 439 836.0 0 2 1 3 844 893 0.000000 1737 0 1 2 1 3 1 2 7 7 0 2 2 506.0 3 4 2 192.0 85 0 0.000000 0.000000 0 8 6
557 2018 20 3 70 15268.000000 1 3 3 0 4 0 19 6 3 0 2 5 5 1963 1963 3 0 11 13 3 4 2 3 1 3 1 53 0 430 132 984.0 0 4 1 3 984 0 0.000000 984 1 0 1 0 3 1 3 5 7 1 2 1 384.0 3 4 2 145.0 56 0 0.000000 0.000000 0 8 6
558 2019 20 3 75 3909.000000 1 3 3 0 4 0 19 1 3 0 2 5 8 1961 2007 1 0 11 13 3 2 1 3 3 3 0 764 5 0 100 864.0 0 0 1 3 864 0 0.000000 864 1 0 1 0 3 1 2 5 7 1 6 1 420.0 3 4 2 132.0 0 0 0.000000 0.000000 0 8 6
559 2020 190 3 65 13608.000000 1 3 3 0 4 0 19 6 3 1 2 5 5 1968 1968 1 0 6 6 3 4 1 3 0 2 0 890 5 0 0 890.0 0 2 0 3 890 0 0.000000 890 1 0 1 0 3 1 3 5 7 0 6 1 308.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
560 2021 20 3 60 8251.000000 1 3 3 0 4 0 19 3 3 0 2 5 5 1963 1963 3 0 11 6 3 4 1 2 1 3 0 489 5 0 375 864.0 0 4 1 3 864 0 0.000000 864 0 0 1 0 3 1 3 5 7 0 2 1 276.0 3 4 2 0.0 0 0 0.000000 0.000000 0 0 1
561 2022 20 3 95 12325.000000 1 3 3 0 4 0 24 3 3 0 2 6 5 1974 1974 1 0 6 7 3 4 1 3 3 0 0 800 5 0 630 1430.0 0 4 1 3 1430 0 0.000000 1430 0 1 2 0 3 1 3 6 7 2 2 2 484.0 3 4 2 117.0 108 66 0.000000 0.000000 0 8 6
562 2023 50 3 70 8788.000000 1 3 3 0 0 0 19 1 3 0 0 5 4 1972 1972 1 0 6 6 3 2 1 2 3 3 3 190 0 430 0 1001.0 0 4 1 3 1001 640 0.000000 1641 0 0 2 0 4 1 3 5 7 1 6 2 490.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
563 2024 60 3 68 5244.000000 1 0 3 0 4 0 15 3 3 0 4 6 5 1990 1991 3 0 6 6 2 4 2 2 3 3 0 704 5 0 226 930.0 0 0 1 3 1364 1319 0.000000 2683 1 0 2 1 4 1 2 9 7 2 2 2 473.0 3 4 2 237.0 251 0 0.000000 153.453113 0 8 6
564 2025 60 3 105 10520.000000 1 3 3 0 4 0 15 3 3 0 0 9 5 1993 1994 3 0 11 13 2 4 2 2 3 1 1 520 5 0 1328 1848.0 0 0 1 3 1827 959 0.000000 2786 1 0 2 1 4 1 2 10 7 1 2 2 636.0 3 4 2 294.0 49 0 0.000000 0.000000 0 8 6
565 2026 120 1 37 10365.000000 1 0 3 0 0 0 21 3 3 4 2 7 5 2004 2005 1 0 7 8 2 4 2 2 3 3 2 24 5 0 1211 1235.0 0 0 1 3 1245 0 0.000000 1245 0 0 2 0 1 1 2 5 7 0 2 2 495.0 3 4 2 0.0 100 0 0.000000 0.000000 0 8 6
566 2027 160 1 30 7961.000000 1 3 3 0 4 0 21 3 3 4 4 6 5 2005 2005 1 0 7 8 2 4 2 2 3 3 2 390 5 0 210 600.0 0 0 1 3 600 600 0.000000 1200 1 0 2 1 2 1 2 5 7 0 6 2 480.0 3 4 2 0.0 166 0 0.000000 0.000000 0 8 6
567 2028 160 1 30 14984.000000 1 3 3 0 4 0 21 3 3 4 4 7 5 2007 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 689 689.0 0 0 1 3 703 689 0.000000 1392 0 0 2 0 2 1 2 5 7 0 6 2 540.0 3 4 2 0.0 102 0 0.000000 0.000000 0 8 1
568 2029 160 1 24 10059.000000 1 3 3 0 4 0 21 3 3 3 4 6 5 1999 1999 1 0 7 8 3 4 2 2 3 3 2 550 5 0 194 744.0 0 2 1 3 757 792 0.000000 1549 1 0 2 1 3 1 3 6 7 0 6 2 440.0 3 4 2 0.0 32 0 0.000000 0.000000 0 8 6
569 2030 120 1 68 -1723.000000 1 0 3 0 4 0 21 3 3 4 2 9 5 2000 2000 3 0 7 8 2 4 2 2 3 0 2 1027 5 0 587 1614.0 0 0 1 3 1638 0 0.000000 1638 1 0 2 0 2 1 0 5 7 1 2 2 495.0 3 4 2 230.0 68 0 0.000000 0.000000 0 8 6
570 2031 120 1 68 9011.000000 1 0 3 0 4 0 21 3 3 4 2 9 5 2001 2001 1 0 10 12 2 4 2 0 3 0 2 1004 5 0 306 1310.0 0 0 1 3 1310 0 0.000000 1310 1 0 1 1 1 1 2 5 7 1 2 2 545.0 3 4 2 277.0 45 0 0.000000 0.000000 0 8 6
571 2032 120 1 42 8202.000000 1 0 3 0 4 0 21 3 3 4 2 9 5 2001 2001 1 0 10 12 2 4 2 0 3 0 2 964 5 0 455 1419.0 0 0 1 3 1419 0 0.000000 1419 1 0 1 1 2 1 0 5 7 1 2 2 588.0 3 4 2 155.0 58 0 0.000000 0.000000 0 8 6
572 2033 120 1 35 14536.000000 1 0 3 0 4 0 21 3 3 4 2 9 5 1999 2000 1 0 10 12 2 4 2 2 3 0 2 1141 5 0 416 1557.0 0 0 1 3 1557 0 0.000000 1557 1 0 2 0 2 1 0 5 7 1 2 2 484.0 3 4 2 124.0 113 0 0.000000 0.000000 0 8 6
573 2034 160 1 24 13828.000000 1 3 3 0 4 0 21 3 3 3 6 7 5 1999 2000 1 0 10 12 2 4 2 2 3 3 2 600 5 0 72 672.0 0 0 1 3 684 720 0.000000 1404 1 0 2 1 3 1 2 5 7 0 6 2 462.0 3 4 2 20.0 0 0 0.000000 0.000000 0 8 6
574 2035 60 1 79 7365.000000 1 0 3 0 0 0 21 3 3 0 4 7 5 2001 2001 1 0 10 12 3 4 2 3 3 3 2 681 5 0 177 858.0 0 0 1 3 872 917 0.000000 1789 1 0 2 1 3 1 3 7 7 1 2 2 546.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
575 2036 160 1 24 20071.000000 1 3 3 0 4 0 21 3 3 3 4 8 5 1999 1999 1 0 7 8 2 4 2 2 3 3 2 612 5 0 348 960.0 0 0 1 3 962 624 0.000000 1586 1 0 2 1 3 1 2 7 7 0 6 2 480.0 3 4 2 169.0 0 0 0.000000 0.000000 0 8 6
576 2037 160 1 24 1754.000000 1 3 3 0 4 0 21 3 3 3 4 8 5 1999 2000 1 0 7 8 2 4 2 2 3 3 2 813 5 0 147 960.0 0 0 1 3 962 645 0.000000 1607 1 0 2 1 3 1 2 7 7 0 6 2 480.0 3 4 2 169.0 0 0 0.000000 0.000000 0 3 6
577 2038 160 1 36 13548.000000 1 0 3 0 4 0 21 3 3 4 4 10 5 1998 1999 1 0 3 8 0 4 2 2 3 2 1 128 2 430 0 970.0 0 0 1 3 1469 924 0.000000 2393 1 0 2 1 2 1 0 7 7 1 2 2 846.0 3 4 2 0.0 90 0 0.000000 94.000000 0 8 6
578 2039 120 3 22 9677.000000 1 1 3 0 1 0 24 3 3 4 2 8 5 1995 1995 3 0 3 3 2 4 2 2 3 1 3 560 2 430 0 1230.0 0 0 1 3 1239 0 0.000000 1239 1 0 1 1 1 1 2 4 7 1 2 2 477.0 3 4 2 172.0 24 0 0.000000 0.000000 0 8 6
579 2040 60 3 68 15134.000000 1 0 3 0 1 0 24 3 3 0 4 9 3 1977 1977 4 0 11 13 2 2 1 2 3 3 2 410 5 0 584 994.0 0 4 1 3 1599 1345 0.000000 2944 0 0 2 2 3 1 2 9 7 1 2 3 864.0 3 4 2 140.0 70 16 0.000000 0.000000 0 8 4
580 2041 20 3 103 13573.000000 1 3 3 0 4 0 24 3 3 0 2 8 9 1976 2007 1 0 10 12 0 0 1 2 2 2 2 1044 4 382 0 1426.0 0 0 1 3 1671 0 0.000000 1671 1 0 3 0 3 1 0 6 7 1 2 2 550.0 3 4 2 280.0 90 0 0.000000 0.000000 0 8 6
581 2042 60 1 68 8861.000000 1 3 3 0 4 0 21 3 3 0 4 7 5 2002 2002 1 0 10 12 2 4 2 2 3 3 5 0 5 0 952 952.0 0 0 1 3 952 860 0.000000 1812 0 0 2 1 3 1 3 7 7 1 2 2 469.0 3 4 2 144.0 112 0 0.000000 0.000000 0 8 6
582 2043 80 3 68 10891.000000 1 0 3 0 4 0 14 3 3 0 6 6 6 1969 1969 1 0 7 8 3 4 1 3 3 0 2 828 5 0 599 1427.0 0 2 1 3 1427 0 0.000000 1427 0 1 2 0 4 1 3 7 7 0 2 2 516.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
583 2044 20 3 85 19687.000000 1 3 3 0 4 0 14 3 3 0 2 6 5 1968 1968 1 0 6 6 3 4 1 3 3 3 4 301 5 0 1439 1740.0 0 1 1 3 1740 0 0.000000 1740 0 0 1 1 4 1 3 8 7 1 2 2 512.0 3 4 2 25.0 0 0 0.000000 153.453113 0 8 4
584 2045 20 3 68 12947.000000 1 0 3 0 1 0 14 3 3 0 2 7 7 1967 1967 1 0 8 9 3 4 1 3 3 3 0 603 1 294 723 1620.0 0 0 1 3 1620 0 0.000000 1620 0 0 2 0 4 1 2 8 7 1 2 2 578.0 3 4 2 0.0 62 66 0.000000 0.000000 0 8 6
585 2046 90 3 75 9387.000000 1 3 3 0 4 0 14 7 3 2 2 5 6 1965 1965 1 0 7 8 3 4 1 3 3 3 5 0 5 0 1625 1625.0 0 0 1 3 1625 0 0.000000 1625 0 0 2 0 4 2 3 8 7 0 6 2 484.0 3 4 2 0.0 0 0 0.000000 0.000000 0 3 6
586 2047 60 3 73 5269.000000 1 3 3 0 4 0 12 1 3 0 4 5 6 1968 1968 1 0 7 8 3 4 1 3 3 3 3 732 5 0 0 732.0 0 0 1 3 732 732 0.000000 1464 0 0 1 1 4 1 3 7 7 0 2 2 470.0 3 4 2 0.0 40 0 0.000000 0.000000 0 8 6
587 2048 20 3 65 11761.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1965 2005 3 0 6 6 2 4 1 3 3 3 0 260 4 430 196 912.0 0 0 1 3 925 0 0.000000 925 1 0 1 0 3 1 3 5 7 0 6 2 576.0 3 4 2 233.0 0 0 0.000000 0.000000 0 8 6
588 2049 90 3 72 10332.000000 1 0 3 0 4 0 12 3 3 2 2 5 5 1965 1965 1 0 6 6 3 4 1 3 3 3 5 0 5 0 1728 1728.0 0 4 1 3 1728 0 0.000000 1728 0 0 2 0 6 2 3 10 7 0 6 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
589 2050 60 3 68 14507.000000 1 0 3 0 4 0 14 3 3 0 4 7 6 1971 1971 1 0 6 6 3 4 1 2 1 3 0 583 5 0 242 825.0 0 4 1 3 845 825 0.000000 1670 0 0 1 1 4 1 3 7 7 0 2 2 464.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
590 2051 20 3 74 7259.000000 1 0 3 0 4 0 12 3 3 0 2 5 5 1956 1956 1 0 6 6 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 1 3 1014 0 0.000000 1014 0 0 1 0 2 1 3 6 7 0 2 1 267.0 3 4 2 0.0 0 40 0.000000 153.453113 0 8 6
591 2052 20 3 90 6778.000000 1 3 3 0 0 0 12 3 3 0 2 5 5 1961 1961 1 0 8 9 3 2 1 3 3 3 5 0 5 0 1114 1114.0 0 4 1 3 1114 0 0.000000 1114 1 0 1 0 3 1 3 5 7 0 2 2 451.0 3 4 2 0.0 0 0 0.000000 153.453113 0 0 1
593 2054 70 3 50 9146.000000 1 0 0 0 4 1 3 7 1 0 4 4 7 1937 1950 1 0 7 8 3 4 2 3 3 3 4 120 5 0 228 348.0 0 4 1 3 453 453 0.000000 906 0 0 1 0 2 1 3 5 7 0 3 1 231.0 0 4 2 0.0 0 0 0.000000 0.000000 0 8 6
594 2055 20 3 80 8892.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1960 1960 1 0 7 8 1 1 1 3 3 3 4 658 5 0 638 1296.0 0 4 1 3 1496 0 0.000000 1496 0 0 2 0 3 1 2 6 7 0 2 2 450.0 3 4 2 0.0 22 0 0.000000 0.000000 0 8 6
595 2056 20 3 80 16758.000000 1 3 3 0 4 0 12 3 3 0 2 5 8 1950 2006 1 0 6 6 3 2 1 3 3 3 1 32 4 308 232 572.0 0 2 1 3 1337 0 0.000000 1337 1 0 1 0 3 1 2 7 7 1 2 1 264.0 3 4 2 0.0 192 0 0.000000 0.000000 0 8 6
596 2057 20 3 63 4333.000000 1 3 3 0 4 0 12 0 3 0 2 5 5 1953 1953 3 0 11 13 3 4 1 3 3 3 3 531 5 0 505 1036.0 0 0 1 3 1036 0 0.000000 1036 0 0 1 0 3 1 3 5 7 0 2 1 312.0 3 4 2 120.0 24 0 0.000000 0.000000 0 8 6
597 2058 60 3 90 3719.000000 1 3 3 0 4 0 12 3 3 0 4 6 7 1966 1999 1 0 10 12 2 2 1 3 3 3 1 575 5 0 529 1104.0 0 0 1 3 1104 884 0.000000 1988 0 0 2 1 4 1 2 9 7 1 2 2 480.0 3 4 2 0.0 230 0 0.000000 0.000000 0 8 6
598 2059 20 3 74 10401.000000 1 3 3 0 4 0 12 3 3 0 2 5 4 1957 1957 1 0 11 13 3 4 1 3 3 3 0 621 3 52 503 1176.0 0 4 1 3 1176 0 0.000000 1176 1 0 1 0 3 1 3 6 7 2 2 1 292.0 3 4 2 0.0 88 0 0.000000 95.000000 0 8 6
599 2060 20 3 82 12002.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1959 1998 1 0 6 6 3 4 1 3 3 3 0 1053 5 0 195 1248.0 0 4 1 3 1440 0 0.000000 1440 1 0 2 0 2 1 2 7 7 0 2 1 480.0 3 4 2 150.0 0 0 0.000000 153.453113 0 8 6
600 2061 20 3 90 9528.000000 1 0 3 0 4 0 12 1 3 0 2 6 6 1958 1958 1 0 11 13 3 4 1 3 3 3 3 958 5 0 437 1395.0 0 0 1 3 1570 0 0.000000 1570 1 0 1 0 3 1 3 5 7 1 2 2 441.0 3 4 2 490.0 0 0 0.000000 0.000000 0 8 6
602 2063 20 3 60 8169.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1952 1952 1 0 7 8 3 4 1 3 3 3 4 148 5 0 572 720.0 0 0 1 0 882 0 0.000000 882 1 0 1 0 2 1 2 4 7 0 2 1 240.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
603 2064 20 3 102 -2446.000000 1 0 3 0 0 0 12 3 3 0 2 5 6 1953 1953 1 0 7 8 3 4 1 3 3 3 4 500 3 196 456 1152.0 0 4 1 3 1152 0 0.000000 1152 0 0 1 1 3 1 3 6 7 0 6 2 636.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
604 2065 20 3 68 12974.000000 1 3 3 0 4 2 12 3 3 0 2 5 5 1953 1953 3 0 7 8 3 4 2 3 3 3 1 624 3 128 232 984.0 1 4 0 3 950 0 0.000000 950 0 0 1 0 2 1 3 5 7 0 6 2 400.0 3 4 2 0.0 32 0 0.000000 0.000000 0 8 6
606 2067 20 3 71 7104.000000 1 3 3 0 4 0 12 3 3 0 2 5 3 1957 1982 1 0 7 8 3 4 0 1 2 2 3 0 2 0 0 0.0 0 2 1 3 1764 0 0.000000 1764 0 0 2 1 4 1 3 7 4 1 2 1 301.0 3 4 2 0.0 72 0 0.000000 0.000000 0 8 6
607 2068 90 3 76 2947.000000 1 3 3 0 4 0 12 3 3 2 2 5 5 1957 1957 1 0 11 13 3 4 1 3 3 3 5 0 5 0 1824 1824.0 0 1 1 0 1824 0 0.000000 1824 0 0 2 0 5 2 3 9 7 0 6 2 484.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
608 2069 20 3 60 5712.000000 1 3 3 0 4 0 17 3 3 0 2 4 6 1948 1950 1 0 7 8 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 0 3 869 0 0.000000 869 0 0 1 0 1 1 3 3 7 0 6 1 390.0 0 4 0 0.0 0 66 0.000000 0.000000 0 8 6
609 2070 50 3 45 17102.000000 1 3 3 0 0 0 17 3 3 0 0 5 8 1925 1950 1 0 10 12 3 2 2 3 3 3 5 0 5 0 747 747.0 0 4 1 3 747 412 0.000000 1159 0 0 1 0 3 1 3 5 7 0 6 1 288.0 0 4 0 84.0 0 66 0.000000 0.000000 0 8 6
610 2071 30 3 60 4419.000000 1 3 3 0 0 0 17 3 3 0 2 4 7 1940 2005 2 0 10 12 2 4 2 3 3 3 5 0 5 0 672 672.0 0 2 1 3 672 0 0.000000 672 0 0 1 0 2 1 3 4 7 0 6 1 308.0 3 4 0 88.0 108 0 0.000000 0.000000 0 8 6
611 2072 50 3 60 8823.000000 1 3 3 0 4 0 17 3 3 0 0 5 5 1922 1950 1 0 11 13 3 4 0 3 3 3 5 0 5 0 892 892.0 0 0 1 3 1254 182 0.000000 1436 0 1 1 0 3 1 3 7 7 1 6 4 1379.5 0 4 0 0.0 0 66 0.000000 0.000000 0 8 6
612 2073 20 3 78 9292.000000 1 0 3 0 0 0 12 1 3 0 2 5 6 1968 1968 1 0 6 9 3 4 1 3 3 3 4 744 5 0 168 912.0 0 4 1 3 1044 0 0.000000 1044 0 1 1 1 3 1 3 5 7 1 2 2 372.0 3 4 2 200.0 48 0 0.000000 0.000000 0 8 6
613 2074 20 3 76 7389.000000 1 0 3 0 0 0 12 3 3 0 2 7 7 1958 2001 1 1 6 6 3 4 1 3 3 3 1 637 5 0 675 1312.0 0 0 1 3 1312 0 0.000000 1312 0 0 1 1 3 1 3 6 7 1 2 2 495.0 3 4 2 0.0 304 66 0.000000 0.000000 0 8 6
615 2076 20 3 60 12798.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1951 1951 1 0 7 8 3 4 1 1 3 3 3 432 5 0 444 876.0 0 4 1 3 876 0 0.000000 876 0 0 1 0 2 1 3 5 7 1 6 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 1
616 2077 20 3 80 4678.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1959 1959 1 0 3 13 3 4 2 3 3 3 1 476 4 430 292 1256.0 0 2 1 0 1256 0 0.000000 1256 1 0 1 1 3 1 2 6 7 0 2 1 311.0 3 4 2 0.0 240 0 0.000000 0.000000 0 8 6
617 2078 20 3 80 11053.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1962 1962 1 0 3 8 3 4 1 3 3 3 1 520 4 319 188 1027.0 0 4 1 3 1027 0 0.000000 1027 0 1 1 0 3 1 3 6 7 0 2 1 299.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
618 2079 50 3 60 1436.000000 1 3 3 0 4 0 12 0 3 0 0 6 6 1948 1950 1 0 11 13 3 4 1 3 3 3 0 315 5 0 453 768.0 0 0 1 3 819 501 0.000000 1320 0 0 2 0 3 1 3 5 7 0 6 2 576.0 3 4 2 108.0 0 0 0.000000 0.000000 0 8 6
619 2080 45 3 64 10120.000000 1 3 3 0 0 0 12 1 3 0 1 6 7 1954 1954 1 0 7 8 3 4 1 3 3 3 5 0 5 0 936 936.0 0 4 1 0 984 0 0.000000 984 1 0 1 0 2 1 3 4 7 0 6 1 280.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
620 2081 50 3 60 2635.000000 1 3 3 0 4 0 12 3 3 0 0 6 5 1954 1954 1 0 7 8 3 4 1 3 3 3 4 673 5 0 181 854.0 0 1 1 0 854 424 0.000000 1278 0 0 1 0 4 1 3 6 7 0 2 1 240.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
621 2082 90 3 113 12149.000000 1 3 3 0 0 0 12 0 3 2 2 5 5 1961 1961 1 0 3 13 3 4 1 3 3 0 5 0 5 0 1800 1800.0 0 4 0 3 1800 0 0.000000 1800 0 0 2 0 6 2 3 10 7 0 5 0 0.0 2 0 0 0.0 0 0 0.000000 0.000000 0 8 1
622 2083 50 3 60 17861.000000 1 3 3 0 4 0 12 3 3 0 0 5 6 1955 1967 1 0 7 8 3 2 1 3 3 2 2 370 5 0 398 768.0 0 2 1 3 1024 564 0.000000 1588 0 0 1 1 3 1 3 6 7 0 6 2 480.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
623 2084 20 3 60 16697.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1954 1954 1 0 7 8 3 4 1 3 3 3 5 0 5 0 825 825.0 0 4 1 0 825 0 0.000000 825 0 1 1 0 2 1 3 4 7 0 2 1 350.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
624 2085 20 3 69 11922.000000 1 3 3 0 4 0 12 5 3 0 2 5 5 1963 1963 1 0 11 13 3 4 1 3 3 3 5 0 5 0 1117 1117.0 0 0 1 3 1117 0 0.000000 1117 0 0 1 0 3 1 3 6 7 0 2 1 264.0 3 4 2 0.0 0 0 0.000000 0.000000 0 0 6
625 2086 20 4 56 16247.000000 1 3 0 0 4 0 17 0 2 0 2 6 5 2008 2008 1 0 10 12 3 4 2 3 3 3 2 96 5 0 96 192.0 0 2 0 3 1133 0 0.000000 1133 1 0 1 0 3 1 3 7 7 0 6 1 308.0 3 4 2 0.0 175 0 0.000000 0.000000 0 8 0
626 2087 50 4 57 12921.000000 1 3 3 0 4 0 17 0 2 0 0 5 7 1948 2005 1 0 12 14 3 4 0 3 3 3 5 0 5 0 780 780.0 0 0 1 3 948 375 0.000000 1323 0 0 1 0 3 1 3 6 7 0 6 2 400.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
627 2088 70 4 80 17344.000000 1 3 3 0 4 0 17 2 2 0 4 5 5 1910 2003 1 0 0 0 3 4 0 3 0 3 5 0 5 0 680 680.0 0 1 0 3 680 680 0.000000 1360 0 0 1 0 2 1 3 6 7 0 2 1 330.0 0 4 2 192.0 50 0 0.000000 0.000000 0 8 5
628 2089 30 4 60 16446.000000 1 3 3 0 0 0 17 2 2 0 2 5 4 1940 1950 1 0 7 8 3 4 1 1 3 3 5 0 5 0 672 672.0 0 4 1 3 672 0 0.000000 672 0 0 1 0 2 1 3 4 7 0 6 1 256.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
629 2090 75 4 60 13263.000000 1 3 3 0 4 0 17 2 2 0 3 6 7 1915 2005 1 0 11 13 2 4 0 3 3 3 5 0 5 0 728 728.0 0 2 1 3 728 728 0.000000 1456 0 0 1 1 4 1 2 7 7 0 6 1 308.0 0 1 0 0.0 0 66 0.000000 0.000000 0 8 5
630 2091 190 4 63 7750.000000 1 3 3 0 4 0 17 2 2 1 0 4 6 1910 1996 1 0 11 13 3 4 3 3 3 3 5 0 5 0 828 828.0 0 2 1 0 828 658 62.304757 1594 0 0 2 0 3 2 3 9 7 0 5 0 0.0 2 0 0 0.0 172 66 0.000000 0.000000 0 8 5
631 2092 50 4 63 11695.000000 1 3 3 0 4 0 17 2 2 0 0 4 6 1940 1985 1 0 7 8 3 2 0 3 3 3 5 0 5 0 801 801.0 0 2 1 0 1095 561 0.000000 1656 0 0 2 0 2 1 3 8 5 0 6 2 440.0 3 4 2 187.0 0 0 0.000000 0.000000 0 8 5
632 2093 50 4 81 3747.000000 1 3 3 0 0 0 17 0 2 0 0 5 5 1920 1950 1 0 12 14 1 1 0 3 3 3 4 360 5 0 576 936.0 0 2 0 0 960 780 0.000000 1740 0 0 1 0 2 1 0 6 7 1 6 1 225.0 0 1 0 0.0 0 66 0.000000 0.000000 0 8 5
633 2094 30 4 60 15031.000000 1 3 3 0 4 0 17 2 2 0 2 7 6 1920 2006 1 0 9 11 2 4 1 3 3 3 5 0 5 0 931 931.0 0 4 1 3 1027 0 0.000000 1027 0 1 1 0 2 1 2 5 7 1 5 0 0.0 2 0 0 0.0 28 0 0.000000 0.000000 0 8 5
634 2095 190 4 60 9560.000000 1 3 3 0 4 0 17 2 2 1 0 6 6 1940 1950 1 0 11 13 3 4 1 3 3 3 1 590 5 0 294 884.0 0 4 1 3 884 552 0.000000 1436 0 0 2 0 3 2 3 8 7 2 6 2 828.0 3 4 2 0.0 0 66 0.000000 0.000000 0 2 5
635 2096 30 4 60 11891.000000 1 3 3 0 4 0 17 2 2 0 2 5 6 1910 1950 4 0 7 8 3 4 0 3 1 3 5 0 5 0 481 481.0 0 4 0 0 899 0 0.000000 899 0 0 1 0 2 1 3 5 7 0 6 1 200.0 0 4 1 0.0 0 66 0.000000 0.000000 0 8 5
636 2097 50 4 44 10195.000000 1 3 3 0 4 0 17 2 2 0 0 5 9 1890 1996 1 0 11 6 3 4 0 1 3 3 5 0 5 0 684 684.0 0 2 1 3 684 396 0.000000 1080 0 0 1 0 3 1 2 5 7 0 5 0 0.0 2 0 0 0.0 165 30 0.000000 0.000000 0 8 5
637 2098 50 4 75 3136.000000 1 3 3 0 0 0 17 2 2 0 0 5 6 1946 1950 1 0 7 8 3 4 1 3 3 3 4 445 5 0 459 904.0 0 0 1 0 904 595 0.000000 1499 0 0 1 0 3 1 3 5 7 1 6 3 869.0 3 2 2 0.0 20 0 0.000000 0.000000 0 8 5
638 2099 20 4 62 11080.000000 1 3 3 0 0 0 17 2 2 0 2 2 5 1946 1950 1 0 10 12 3 2 0 3 3 3 5 0 5 0 407 407.0 0 4 0 0 407 0 0.000000 407 0 0 1 0 1 1 3 3 7 0 6 1 297.0 0 4 2 76.0 0 66 0.000000 0.000000 0 8 0
639 2100 20 4 103 17331.000000 1 3 3 0 4 0 17 2 2 0 2 3 1 1949 1992 1 0 7 8 3 4 0 1 0 3 5 0 5 0 448 448.0 0 2 1 3 1588 0 0.000000 1588 0 0 2 0 5 1 3 6 4 0 5 0 0.0 2 0 0 0.0 0 0 0.000000 0.000000 0 8 0
640 2101 190 4 69 463.000000 1 3 3 0 4 0 17 2 2 1 4 5 5 1900 2006 1 0 7 8 3 1 0 1 3 3 5 0 5 0 797 797.0 0 4 0 0 830 797 0.000000 1627 0 0 2 0 4 2 3 10 7 0 6 2 420.0 0 3 0 192.0 0 60 0.000000 0.000000 0 8 5
641 2102 75 4 53 8310.000000 1 3 3 0 0 0 17 0 2 0 4 7 8 1920 1965 1 0 11 14 3 4 0 3 3 3 1 116 5 0 508 624.0 0 0 1 3 730 720 0.000000 1450 0 0 1 0 3 1 3 7 7 0 6 1 288.0 3 4 2 0.0 192 0 0.000000 0.000000 0 8 5
642 2103 50 4 69 10433.000000 1 3 3 0 0 0 17 2 2 0 0 5 7 1900 2003 1 0 10 12 3 4 1 3 3 3 5 0 5 0 346 346.0 0 0 1 3 709 308 0.000000 1017 0 0 1 0 2 1 3 5 7 0 6 1 308.0 3 4 0 0.0 0 66 0.000000 0.000000 0 8 5
643 2104 190 4 60 9606.000000 1 3 3 0 4 0 17 2 2 1 4 5 5 1920 1960 1 0 0 0 3 4 0 3 3 3 4 234 5 0 739 973.0 0 4 1 2 1377 973 0.000000 2350 0 0 2 0 4 2 3 10 7 0 0 2 393.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
644 2105 70 4 60 11760.000000 1 3 3 0 0 0 17 2 2 0 4 5 9 1905 2005 1 0 7 8 2 4 0 1 3 3 5 0 5 0 572 572.0 0 0 1 3 884 656 0.000000 1540 0 0 1 1 3 1 2 7 7 0 5 0 0.0 2 0 0 240.0 77 0 0.000000 0.000000 0 8 5
645 2106 70 4 60 6154.000000 1 3 3 0 4 0 17 2 2 0 4 2 1 1920 1950 1 0 0 0 1 1 0 1 0 3 5 0 5 0 723 723.0 0 4 0 3 723 363 0.000000 1086 0 0 1 0 2 1 3 5 3 0 6 2 400.0 0 3 0 0.0 24 66 0.000000 0.000000 0 3 5
646 2107 70 4 60 4964.000000 1 3 3 0 4 0 17 2 2 0 4 7 7 1890 1999 1 0 11 14 3 4 0 3 3 2 5 0 5 0 1313 1313.0 1 2 1 3 1313 1182 0.000000 2495 0 0 2 0 5 1 3 10 7 1 6 2 342.0 3 1 2 0.0 299 0 0.000000 0.000000 0 8 5
647 2108 20 4 65 13957.000000 1 3 3 0 4 0 17 2 2 0 2 5 6 1959 1959 1 0 7 8 3 4 1 3 3 3 4 200 5 0 784 984.0 0 2 1 3 984 0 0.000000 984 1 0 1 0 2 1 1 5 7 0 6 1 308.0 3 4 0 0.0 0 0 0.000000 0.000000 0 8 5
648 2109 20 4 52 6028.000000 1 3 3 0 4 0 17 2 2 0 2 4 6 1958 2006 1 0 7 8 3 4 1 3 3 3 5 0 5 0 869 869.0 0 4 1 3 1093 0 0.000000 1093 0 0 1 0 2 1 3 5 7 0 6 1 308.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
649 2110 30 3 55 15699.000000 1 0 0 0 4 0 3 3 3 0 2 5 7 1928 1983 1 0 12 14 2 2 0 3 3 3 3 406 1 273 329 1008.0 0 4 1 3 1143 0 0.000000 1143 0 0 1 0 2 1 3 5 7 1 6 1 288.0 3 4 2 265.0 0 0 0.000000 0.000000 0 8 6
650 2111 50 4 68 17183.000000 1 0 0 0 0 0 3 7 0 0 0 7 7 1945 1950 1 0 11 13 3 4 1 3 0 3 5 0 5 0 672 672.0 0 2 1 3 1195 473 0.000000 1668 0 0 1 1 3 1 2 8 7 0 2 1 252.0 3 4 2 210.0 0 0 0.000000 0.000000 0 8 0
651 2112 50 3 68 17469.000000 1 3 3 0 4 0 3 3 3 0 0 5 5 1935 1950 1 0 11 13 3 4 0 3 3 3 4 175 5 0 849 1024.0 0 4 1 3 1144 594 0.000000 1738 0 0 2 0 3 1 3 6 7 1 6 1 240.0 3 4 1 0.0 30 0 0.000000 0.000000 0 8 6
652 2113 50 4 50 8807.000000 1 3 3 0 4 0 3 1 2 0 0 5 7 1941 2006 1 0 11 13 3 2 1 3 3 3 0 600 5 0 72 672.0 0 0 1 3 832 378 0.000000 1210 0 0 1 0 3 1 2 6 7 0 6 1 240.0 3 4 1 0.0 0 0 0.000000 0.000000 0 8 5
653 2114 70 4 59 5360.000000 1 3 3 0 0 0 3 1 1 0 4 6 9 1900 2000 1 0 6 6 3 2 0 3 3 3 5 0 5 0 554 554.0 0 0 1 3 736 554 0.000000 1290 0 0 1 1 3 1 3 6 7 0 6 1 200.0 0 4 2 38.0 112 0 0.000000 0.000000 0 8 5
654 2115 50 4 50 16088.000000 1 3 3 0 4 0 3 2 2 0 0 6 7 1940 1989 1 0 11 13 3 4 1 3 3 3 0 521 5 0 460 981.0 0 0 1 3 1014 658 0.000000 1672 0 0 1 1 3 1 2 6 7 1 6 1 240.0 3 4 2 0.0 11 0 0.000000 0.000000 0 8 5
655 2116 30 4 50 9617.000000 1 3 1 0 4 0 3 2 2 0 2 5 7 1924 2003 1 0 11 13 3 1 0 3 0 3 5 0 5 0 949 949.0 0 0 1 3 949 0 0.000000 949 0 0 1 0 2 1 3 5 7 1 6 2 370.0 3 4 2 0.0 0 48 0.000000 0.000000 0 8 5
656 2117 50 4 50 3314.000000 1 3 3 0 4 0 3 2 2 0 0 6 7 1937 2000 1 0 11 13 3 2 0 3 3 3 4 201 3 162 462 825.0 0 0 1 3 825 672 0.000000 1497 0 0 2 0 3 1 3 5 7 0 6 1 672.0 3 4 2 272.0 0 0 0.000000 0.000000 0 8 5
657 2118 50 4 50 3922.000000 1 3 3 0 4 0 3 2 2 0 0 6 5 1939 1950 1 0 11 13 3 4 1 3 3 3 3 264 5 0 475 739.0 0 0 1 3 874 468 0.000000 1342 0 0 2 0 2 2 3 7 7 1 6 1 240.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
658 2119 45 4 50 11399.000000 1 3 0 0 4 1 3 2 2 0 1 6 7 1926 1950 1 0 7 8 3 4 0 3 3 3 5 0 5 0 992 992.0 0 0 1 3 1013 0 0.000000 1013 0 0 1 0 3 1 3 6 7 0 6 1 160.0 0 4 2 0.0 0 66 0.000000 0.000000 0 8 5
659 2120 50 4 60 6361.000000 1 0 3 0 2 0 3 1 2 0 0 5 7 1920 1997 1 0 0 0 3 2 0 3 3 3 0 68 5 0 497 565.0 0 4 1 3 565 651 0.000000 1216 1 0 1 0 3 1 3 6 7 1 4 1 355.0 0 4 2 0.0 0 66 0.000000 0.000000 0 8 5
660 2121 20 4 99 2469.000000 1 0 3 0 3 0 3 1 2 0 2 4 7 1946 1950 1 0 7 4 3 4 2 1 2 2 3 439 2 52 554 1046.0 0 4 1 0 896 0 0.000000 896 3 2 1 0 2 1 3 4 7 0 6 1 280.0 3 4 2 0.0 0 0 0.000000 0.000000 0 3 0
661 2122 50 4 52 11260.000000 1 3 3 0 4 0 3 2 2 0 0 4 7 1929 1950 1 0 7 8 3 4 2 3 3 3 1 80 5 0 624 704.0 0 0 1 3 624 512 0.000000 1136 0 1 1 0 2 1 3 6 7 0 6 1 336.0 3 4 2 0.0 311 66 0.000000 0.000000 0 8 5
662 2123 30 4 68 6792.000000 1 3 3 0 4 0 3 2 2 0 2 5 6 1945 1995 1 0 8 9 3 2 1 1 2 2 3 0 2 0 0 0.0 0 2 0 3 808 0 0.000000 808 0 0 1 0 1 1 3 6 1 0 2 1 164.0 3 4 1 0.0 48 0 0.000000 0.000000 0 8 5
663 2124 50 4 52 6751.000000 1 3 3 0 4 0 3 2 2 0 0 7 5 1939 1950 1 0 11 13 3 4 0 3 3 2 4 300 3 240 449 989.0 0 4 1 3 1245 764 0.000000 2009 0 0 2 0 4 1 3 7 1 1 6 2 400.0 3 4 2 0.0 20 0 0.000000 0.000000 0 8 5
664 2125 70 4 51 4729.000000 1 3 3 0 4 0 17 0 2 0 4 5 5 1923 1950 2 0 11 13 3 4 0 3 3 3 3 203 5 0 897 1100.0 0 4 1 3 1226 676 0.000000 1902 0 0 2 0 4 1 3 7 7 0 6 2 576.0 3 4 2 0.0 139 55 0.000000 0.000000 0 8 5
665 2126 50 3 60 11394.000000 1 3 3 0 4 0 3 3 3 0 0 6 4 1915 2004 1 0 10 12 3 2 0 3 3 3 5 0 5 0 810 810.0 0 0 1 3 1170 546 0.000000 1716 0 0 2 0 4 1 2 8 7 0 6 2 672.0 3 4 2 0.0 195 0 0.000000 0.000000 0 8 6
666 2127 60 4 57 9313.000000 1 3 3 0 4 0 17 2 2 1 3 6 8 1910 1983 1 0 11 13 3 4 2 3 3 2 4 196 5 0 1046 1242.0 0 2 1 3 1242 742 0.000000 1984 0 0 2 0 5 1 3 8 7 0 6 1 360.0 2 0 2 64.0 0 66 0.000000 0.000000 0 8 5
667 2128 50 4 63 17035.000000 1 3 3 0 4 0 17 2 2 0 0 6 8 1910 1950 2 0 7 8 2 4 0 2 1 3 5 0 5 0 796 796.0 0 0 1 3 825 784 0.000000 1609 0 0 1 0 3 1 3 7 7 0 6 1 228.0 0 1 0 0.0 182 0 0.000000 0.000000 0 8 5
668 2129 30 4 68 6736.000000 0 0 3 0 4 0 9 8 2 0 2 6 6 1930 1950 1 0 9 14 2 2 0 3 3 3 5 0 5 0 768 768.0 0 4 1 3 768 0 0.000000 768 0 0 1 0 1 1 3 4 7 0 6 2 440.0 3 4 0 0.0 0 66 0.000000 0.000000 0 8 5
669 2130 70 4 60 14039.000000 1 3 3 0 4 0 9 2 2 0 4 6 6 1952 1952 1 0 7 8 3 4 1 3 3 3 4 372 5 0 396 768.0 0 4 1 0 768 768 0.000000 1536 0 0 1 1 4 1 3 7 7 0 6 1 308.0 3 4 2 0.0 216 66 0.000000 0.000000 0 0 0
670 2131 50 4 60 13709.000000 1 3 0 0 4 0 9 2 2 0 0 6 6 1938 1958 1 0 11 13 3 4 0 3 3 3 5 0 5 0 1272 1272.0 0 4 1 3 1272 0 62.304757 1969 0 0 2 0 4 1 3 9 0 1 6 2 400.0 3 4 2 0.0 34 0 0.000000 0.000000 0 0 5
671 2132 50 4 68 19056.000000 1 3 3 0 4 0 9 2 2 0 0 5 6 1915 1978 1 0 6 6 3 1 0 3 0 3 5 0 5 0 880 880.0 0 2 1 3 880 428 0.000000 1308 0 0 2 0 2 1 3 6 7 0 6 2 400.0 0 1 2 0.0 0 66 0.000000 0.000000 0 8 5
672 2133 30 4 60 15155.000000 1 3 3 0 0 0 9 2 2 0 2 6 7 1925 1992 1 0 10 12 3 4 1 3 3 3 5 0 5 0 1040 1040.0 0 2 1 3 1040 0 0.000000 1040 0 0 1 0 2 1 3 5 7 0 6 2 320.0 3 4 2 0.0 132 0 0.000000 0.000000 0 8 5
673 2134 50 4 62 9297.000000 1 3 3 0 4 0 9 2 2 0 0 6 6 1925 1950 1 0 9 11 3 4 2 3 3 3 4 121 5 0 647 768.0 0 4 1 3 788 448 0.000000 1236 1 0 2 0 3 1 3 6 7 1 6 1 384.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 4
674 2135 30 4 60 10855.000000 1 3 3 0 4 0 9 8 2 0 2 5 8 1912 1991 1 0 11 13 3 4 0 1 3 3 5 0 5 0 451 451.0 0 4 1 3 759 0 0.000000 759 0 0 1 0 1 1 3 5 7 0 6 2 576.0 3 4 0 40.0 0 0 0.000000 0.000000 0 3 4
675 2136 190 4 60 11205.000000 1 3 3 0 4 0 9 2 2 1 4 3 3 1915 1950 1 0 1 1 1 1 2 3 0 3 5 0 5 0 536 536.0 0 0 0 1 808 536 0.000000 1344 0 0 2 0 3 2 3 8 7 0 5 0 0.0 2 0 0 42.0 0 66 0.000000 0.000000 0 8 5
676 2137 20 3 82 10646.000000 1 3 3 0 4 0 19 1 3 0 2 5 6 1947 1993 1 0 10 12 2 4 1 3 3 3 5 0 5 0 1046 1046.0 0 2 0 3 1054 0 0.000000 1054 0 0 1 0 3 1 3 6 7 0 6 1 240.0 3 4 2 0.0 60 66 0.000000 0.000000 0 8 1
677 2138 85 3 68 7425.000000 1 3 3 0 0 0 19 1 3 0 5 5 6 1963 1963 1 0 6 13 3 4 1 2 3 0 0 784 5 0 197 981.0 0 4 1 3 1075 0 0.000000 1075 1 0 1 0 3 1 2 6 7 0 6 2 440.0 3 4 2 64.0 0 0 0.000000 64.000000 0 8 1
678 2139 80 3 80 9600.000000 1 3 3 0 4 0 19 3 3 0 6 6 5 1978 1978 1 0 6 9 3 4 1 3 3 0 0 528 5 0 480 1008.0 0 4 1 3 1096 0 0.000000 1096 1 0 1 0 3 1 3 6 7 1 2 2 484.0 3 4 2 168.0 0 0 0.000000 0.000000 0 8 6
679 2140 20 3 68 15695.000000 1 0 3 0 4 0 19 3 3 0 2 5 7 1967 2005 1 0 6 6 3 1 1 3 3 3 0 758 5 0 234 992.0 0 0 1 3 992 0 0.000000 992 1 0 1 0 3 1 2 6 7 0 2 1 294.0 3 4 2 204.0 0 0 0.000000 0.000000 0 8 6
680 2141 85 3 68 6530.000000 1 0 3 0 1 0 19 3 3 0 5 6 8 1978 1978 1 0 6 6 3 4 1 2 3 1 0 450 5 0 0 450.0 0 0 1 3 1034 0 0.000000 1034 0 1 1 0 3 1 3 6 7 1 3 2 504.0 3 4 2 311.0 0 0 0.000000 0.000000 0 8 6
682 2143 85 3 68 6064.000000 1 0 3 0 1 0 19 3 3 0 5 5 5 1984 1984 1 0 10 12 3 4 2 2 3 0 3 104 0 430 0 1060.0 0 4 1 3 1126 0 0.000000 1126 1 0 1 0 2 1 3 5 7 0 2 2 506.0 3 4 2 178.0 0 0 0.000000 0.000000 0 8 6
683 2144 190 3 60 774.000000 1 3 3 0 4 0 19 1 3 1 2 5 4 1920 1950 1 0 3 11 3 4 2 3 0 3 1 1300 5 0 0 1300.0 0 1 1 3 1140 0 0.000000 1140 1 0 1 0 3 1 3 6 7 0 5 2 400.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 3
684 2145 20 3 94 11653.000000 1 3 3 0 4 0 19 1 3 0 2 5 8 1963 2003 1 0 10 12 3 2 1 3 3 3 2 634 5 0 326 960.0 0 0 1 3 960 0 0.000000 960 1 0 1 0 3 1 2 6 7 0 2 1 300.0 3 4 2 168.0 0 0 0.000000 0.000000 0 8 6
685 2146 20 3 88 951.000000 1 3 3 0 4 0 19 4 3 0 2 6 8 1956 1956 1 0 6 6 3 4 1 3 1 1 2 776 5 0 212 988.0 0 4 1 0 1188 0 0.000000 1188 1 0 1 0 1 1 3 4 7 1 2 2 621.0 3 4 2 102.0 89 66 0.000000 0.000000 0 8 6
686 2147 190 3 68 -566.000000 1 3 3 0 0 0 4 3 3 0 2 5 3 1960 1960 0 1 8 9 3 4 1 3 3 2 4 988 5 0 0 988.0 0 2 1 3 1721 0 0.000000 1721 1 0 2 0 3 1 3 7 5 2 3 2 626.0 3 4 2 50.0 84 0 0.000000 0.000000 0 8 1
687 2148 50 3 63 4387.000000 1 3 3 0 0 0 19 3 3 0 0 5 7 1941 1973 1 0 11 13 3 4 0 3 3 3 0 336 5 0 240 576.0 0 2 1 3 864 486 0.000000 1350 1 0 1 1 2 1 2 6 0 0 1 3 627.0 3 4 0 0.0 0 0 0.000000 0.000000 0 8 6
688 2149 80 3 68 8752.000000 1 3 3 0 4 0 19 3 3 0 6 5 8 1970 1970 3 0 6 6 3 2 2 2 3 0 0 704 5 0 160 864.0 0 0 1 3 904 0 0.000000 904 0 0 1 0 3 1 2 5 7 0 0 3 912.0 3 4 2 143.0 0 0 0.000000 0.000000 0 8 6
691 2152 30 3 85 6022.000000 1 3 3 0 4 0 7 3 3 0 2 5 7 1940 2007 0 1 4 10 3 4 2 3 3 1 0 1035 5 0 545 1580.0 0 0 1 3 1518 0 0.000000 1518 1 0 1 0 2 1 1 5 7 2 5 0 0.0 2 0 2 0.0 39 0 0.000000 0.000000 0 8 6
692 2153 20 3 68 -466.000000 1 3 3 0 4 0 7 3 3 0 2 5 6 1956 1956 3 0 11 13 3 4 1 3 3 0 4 870 5 0 639 1509.0 0 4 1 0 1509 0 0.000000 1509 1 0 1 0 3 1 2 6 7 1 2 1 322.0 3 4 2 158.0 0 0 0.000000 153.453113 0 8 6
693 2154 90 3 50 16442.000000 1 3 3 0 4 0 7 3 3 2 5 5 5 1975 1975 1 0 6 6 3 4 2 2 3 0 2 864 5 0 0 864.0 0 1 0 3 864 0 0.000000 864 1 0 1 0 2 1 3 4 7 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 6
694 2155 60 3 50 9276.000000 1 3 3 0 0 0 7 3 3 0 4 6 8 1962 2001 1 0 10 12 2 4 1 3 3 3 4 324 5 0 297 621.0 0 4 1 3 621 648 0.000000 1269 0 0 1 1 3 1 3 7 7 0 6 1 280.0 3 4 2 0.0 236 0 0.000000 0.000000 0 8 6
695 2156 60 3 68 11430.000000 1 2 3 0 0 0 20 3 3 0 4 6 5 1995 2002 1 0 6 6 2 4 2 2 3 3 3 779 5 0 298 1077.0 0 0 1 3 1093 1703 0.000000 2814 0 1 2 1 4 1 2 9 7 1 4 2 614.0 3 4 2 48.0 32 0 0.000000 153.453113 0 8 6
696 2157 20 3 80 8429.000000 1 3 3 0 4 0 20 3 3 0 2 7 5 1994 1994 1 0 6 6 2 4 2 2 3 3 2 1271 5 0 331 1602.0 0 0 1 3 1626 0 0.000000 1626 1 0 2 1 3 1 2 7 7 1 2 2 534.0 3 4 2 424.0 40 0 0.000000 0.000000 0 8 6
698 2159 80 3 85 13460.000000 1 0 3 0 0 0 20 3 3 0 6 7 5 1996 1996 1 0 10 12 2 4 2 2 3 0 5 0 5 0 672 672.0 0 0 1 3 1302 735 0.000000 2037 0 0 2 1 3 1 2 8 7 1 2 2 472.0 3 4 2 100.0 33 0 0.000000 0.000000 0 8 6
699 2160 60 3 65 8566.000000 1 0 3 0 4 0 5 3 3 0 4 7 5 2007 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 628 628.0 0 0 1 3 628 728 0.000000 1356 0 0 2 1 3 1 2 6 7 1 4 2 484.0 3 4 2 100.0 24 0 0.000000 0.000000 0 6 7
700 2161 20 3 65 12121.000000 1 0 3 0 4 0 5 3 3 0 2 8 5 2007 2007 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1615 1615.0 0 0 1 3 1615 0 0.000000 1615 0 0 2 0 3 1 2 7 7 1 2 3 864.0 3 4 2 168.0 30 0 0.000000 0.000000 0 8 6
701 2162 20 3 91 16028.000000 1 3 3 0 4 0 5 3 3 0 2 9 5 2008 2008 3 0 10 12 2 4 2 2 3 1 2 2085 5 0 186 2271.0 0 0 1 3 2276 0 0.000000 2276 1 0 2 0 3 1 0 7 7 2 2 3 1348.0 1 4 2 0.0 0 66 0.000000 153.453113 0 8 1
702 2163 20 3 91 9048.000000 1 3 3 0 4 0 5 5 3 0 2 9 5 2008 2008 3 0 10 12 0 4 2 0 3 0 2 1153 5 0 598 1751.0 0 0 1 3 1766 0 0.000000 1766 1 0 2 1 3 1 0 8 7 2 2 3 874.0 3 4 2 216.0 36 0 0.000000 0.000000 0 6 7
703 2164 80 3 68 24609.000000 1 1 3 0 0 0 20 3 3 0 6 8 5 1995 1995 1 0 10 12 2 4 2 2 3 1 2 770 5 0 631 1401.0 0 0 1 3 1511 0 0.000000 1511 1 0 2 0 3 1 2 6 7 1 2 3 811.0 3 4 2 168.0 42 0 0.000000 0.000000 0 8 6
704 2165 20 3 68 -390.000000 1 0 0 0 1 0 4 3 3 0 2 6 6 1966 1966 0 1 8 9 3 4 1 2 1 1 3 262 0 430 197 1182.0 0 0 1 3 1643 0 0.000000 1643 1 0 2 0 2 1 3 6 7 1 2 2 438.0 3 4 2 339.0 0 0 0.000000 0.000000 0 8 6
705 2166 20 3 65 8139.000000 1 3 2 0 4 1 5 3 3 0 2 5 7 1994 1994 1 0 10 12 3 4 2 2 3 3 2 722 5 0 268 990.0 0 0 1 3 990 0 0.000000 990 1 0 1 0 3 1 3 5 7 0 6 2 528.0 3 4 2 168.0 0 0 0.000000 0.000000 0 8 6
707 2168 60 3 68 7846.000000 1 0 3 0 0 0 5 5 3 0 4 6 5 1997 1997 1 0 10 12 3 4 2 2 3 3 2 688 5 0 176 864.0 0 0 1 3 872 899 0.000000 1771 1 0 2 1 3 1 2 6 7 0 2 2 600.0 3 4 2 0.0 96 0 0.000000 0.000000 0 8 6
710 2171 20 3 68 -980.000000 1 0 3 0 4 0 5 3 3 0 2 5 6 1978 1978 1 0 6 6 3 4 1 2 3 2 0 781 5 0 83 864.0 0 0 1 3 1174 0 0.000000 1174 1 0 1 0 3 1 3 5 7 0 2 2 528.0 3 4 2 211.0 0 66 0.000000 0.000000 0 8 6
711 2172 20 3 68 14610.000000 1 0 3 0 4 0 5 3 3 0 2 5 6 1975 1975 1 0 6 6 3 4 1 3 3 0 0 294 5 0 782 1076.0 0 4 1 3 1076 0 0.000000 1076 0 0 1 1 3 1 3 5 7 1 6 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 1
712 2173 20 3 40 7196.000000 1 0 3 0 1 0 5 3 3 0 2 5 6 1975 2001 1 0 8 13 3 4 1 3 3 3 4 88 0 430 180 864.0 0 4 1 3 1558 0 0.000000 1558 1 0 2 0 2 1 3 5 1 0 2 2 440.0 3 4 2 140.0 0 66 0.000000 153.453113 0 8 6
715 2176 20 3 68 11356.000000 1 1 3 0 1 0 5 3 3 0 2 8 5 2002 2003 3 0 10 12 2 4 2 0 3 1 2 1538 5 0 240 1778.0 0 0 1 3 1786 0 0.000000 1786 1 0 2 0 3 1 2 6 7 1 2 3 715.0 3 4 2 182.0 35 0 0.000000 0.000000 0 8 6
717 2178 60 3 96 12005.000000 1 0 3 0 4 0 5 3 3 0 4 8 5 1999 2000 1 0 10 12 2 4 2 2 3 0 5 0 5 0 850 850.0 0 0 1 3 886 878 0.000000 1764 0 0 2 1 3 1 2 7 7 1 2 2 560.0 3 4 2 120.0 29 0 0.000000 0.000000 0 8 6
718 2179 120 4 68 17484.000000 1 3 3 0 4 0 5 2 2 4 2 6 5 2004 2004 1 0 10 12 2 4 2 2 3 2 2 662 5 0 186 848.0 0 0 1 3 848 0 0.000000 848 1 0 1 0 1 1 2 3 7 0 2 2 420.0 3 4 2 140.0 0 0 0.000000 0.000000 0 8 5
719 2180 90 4 83 8833.000000 1 3 3 0 0 0 5 2 2 2 5 6 5 1997 1998 1 0 10 12 3 2 2 2 3 1 2 1593 3 162 83 1838.0 0 0 1 3 1838 0 0.000000 1838 2 0 2 0 2 2 3 8 7 0 2 3 721.0 3 4 2 160.0 67 0 0.000000 0.000000 0 8 0
722 2183 20 3 74 5856.000000 1 3 3 0 4 0 5 3 3 0 2 7 5 2007 2007 1 0 10 12 2 4 2 2 3 0 2 24 5 0 1327 1351.0 0 0 1 3 1361 0 0.000000 1361 0 0 2 0 3 1 2 6 7 0 2 2 610.0 3 4 2 0.0 50 0 0.000000 0.000000 0 8 6
723 2184 20 3 75 10834.000000 1 3 3 0 4 0 7 3 3 0 2 5 5 1966 1966 3 0 6 6 3 4 1 3 3 3 4 609 5 0 483 1092.0 0 4 1 3 1092 0 0.000000 1092 0 0 1 0 3 1 3 6 7 0 2 1 264.0 3 4 2 259.0 0 0 0.000000 153.453113 0 0 1
724 2185 85 3 64 9686.000000 1 3 3 0 4 0 7 3 3 0 5 5 5 1976 1976 1 0 6 9 3 4 1 2 1 1 0 456 5 0 0 456.0 0 0 1 3 1033 0 0.000000 1033 0 1 1 0 3 1 3 6 7 0 4 2 504.0 0 4 2 224.0 0 0 0.000000 0.000000 0 8 4
725 2186 20 3 65 10167.000000 1 3 3 0 4 0 7 3 3 0 2 6 6 1976 1976 3 0 6 9 3 4 1 3 2 3 1 1033 5 0 94 1127.0 0 4 1 3 1127 0 0.000000 1127 0 1 1 1 3 1 3 6 7 1 6 2 480.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
726 2187 80 3 68 8663.000000 1 0 3 0 1 0 7 3 3 0 6 6 6 1977 1977 3 0 8 9 3 4 1 3 3 0 0 368 4 120 541 1029.0 0 4 1 3 1117 0 0.000000 1117 1 0 1 0 3 1 3 6 7 1 2 2 542.0 3 4 2 292.0 0 0 0.000000 0.000000 0 8 6
727 2188 60 3 72 8191.000000 1 3 3 0 4 0 7 3 3 0 4 6 7 1976 2001 3 0 8 9 3 4 1 3 3 0 0 288 5 0 396 684.0 0 4 1 3 684 714 0.000000 1398 0 0 1 1 3 1 3 6 7 1 2 2 440.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
728 2189 20 3 123 12164.000000 1 0 3 0 4 0 7 3 3 0 2 5 7 1959 1996 1 0 8 9 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 1 3 2949 0 0.000000 3572 3 2 3 1 5 1 0 11 7 2 2 2 624.0 3 4 2 0.0 311 0 0.000000 0.000000 0 8 6
729 2190 90 3 65 12764.000000 1 3 3 0 0 0 7 3 3 2 2 4 5 1955 1955 1 0 0 9 3 1 2 1 2 2 3 0 2 0 0 0.0 0 4 0 3 1152 0 0.000000 1152 0 0 2 0 2 2 3 6 7 0 5 0 0.0 2 0 0 0.0 0 0 0.000000 0.000000 0 8 2
730 2191 90 3 74 15266.000000 1 3 3 0 4 0 7 3 3 2 2 4 5 1955 1955 1 0 12 14 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 0 1 1152 0 0.000000 1152 0 0 2 0 2 2 3 6 7 0 5 0 0.0 2 0 0 0.0 0 0 0.000000 0.000000 0 8 6
731 2192 190 3 56 19200.000000 1 3 3 0 4 0 7 3 3 1 2 4 5 1955 1955 3 0 11 13 3 4 1 3 3 0 0 784 5 0 0 784.0 0 4 0 2 784 0 0.000000 784 1 0 1 0 2 1 3 4 7 0 5 0 0.0 2 0 2 112.0 0 0 0.000000 0.000000 0 8 6
732 2193 50 3 60 4563.000000 1 3 3 0 4 0 7 3 3 0 0 5 7 1938 2007 1 0 11 13 3 4 2 3 3 3 5 0 5 0 585 585.0 0 2 1 1 585 468 0.000000 1053 0 0 1 1 2 1 0 5 7 0 5 0 0.0 2 0 0 42.0 0 0 0.000000 0.000000 0 8 4
733 2194 50 3 57 3958.000000 1 3 3 0 4 0 7 3 3 0 0 5 8 1947 1993 1 0 7 8 3 2 4 1 2 2 3 0 2 0 0 0.0 0 2 1 3 929 208 0.000000 1137 0 0 1 1 4 1 3 8 0 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 6
734 2195 20 3 68 2411.000000 1 3 0 0 4 1 7 3 3 0 2 4 5 1953 1953 1 0 7 8 3 4 1 2 3 3 4 767 5 0 144 911.0 0 4 1 3 930 0 0.000000 930 0 0 1 0 2 1 3 5 7 0 2 1 286.0 3 4 2 134.0 0 0 0.000000 0.000000 0 8 6
735 2196 80 3 62 4496.000000 1 3 0 0 4 1 7 3 3 0 6 4 6 1954 1954 1 0 11 13 3 4 1 0 3 0 5 0 5 0 416 416.0 0 2 1 0 1204 0 0.000000 1204 0 0 1 0 3 1 3 6 7 0 3 1 312.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 1
736 2197 30 3 67 7295.000000 1 3 3 0 4 0 7 3 3 0 0 4 7 1923 2008 1 0 11 13 3 4 2 3 3 3 0 224 5 0 725 949.0 0 4 1 3 949 343 0.000000 1292 0 0 1 1 3 1 2 6 7 0 6 1 205.0 3 4 0 0.0 0 66 0.000000 0.000000 0 8 6
737 2198 30 3 60 11433.000000 1 3 3 0 0 0 18 3 3 0 2 7 8 1921 1950 1 0 12 14 3 4 0 3 3 3 5 0 5 0 1228 1228.0 0 0 1 3 1424 0 0.000000 1424 0 0 2 0 2 1 3 7 7 1 2 1 312.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
738 2199 90 3 64 365.000000 1 3 3 0 4 0 18 3 3 2 3 6 7 1930 1950 1 0 9 11 3 4 0 3 3 3 0 281 4 430 0 960.0 0 0 1 3 960 960 0.000000 1920 2 0 2 2 4 2 3 10 7 2 6 2 480.0 3 4 2 248.0 0 66 0.000000 0.000000 0 8 1
739 2200 70 3 66 2152.000000 1 3 0 0 4 0 6 3 3 0 4 6 6 1926 1950 2 0 11 13 3 4 0 3 3 3 1 379 5 0 265 644.0 0 0 1 3 672 644 0.000000 1316 1 0 1 0 2 1 3 6 7 1 6 1 369.0 3 4 1 0.0 0 0 0.000000 153.453113 0 8 6
740 2201 50 3 63 16217.000000 1 3 3 0 4 0 6 3 3 0 0 6 6 1914 1995 1 0 11 14 3 4 0 2 3 3 5 0 5 0 676 676.0 0 0 1 3 676 588 0.000000 1264 0 0 1 0 3 1 3 6 7 0 6 2 400.0 3 4 2 424.0 0 0 0.000000 0.000000 0 8 6
741 2202 70 3 54 8896.000000 1 3 3 0 0 0 6 3 3 0 4 8 9 1925 1997 1 0 9 11 2 2 2 1 3 3 0 406 5 0 392 798.0 0 0 1 3 798 714 0.000000 1512 1 0 2 0 3 1 2 7 7 1 6 1 180.0 3 4 1 85.0 16 41 0.000000 0.000000 0 8 6
742 2203 70 3 68 13756.000000 1 0 1 0 0 0 6 3 3 0 4 6 3 1923 1950 3 0 11 9 3 4 0 3 3 3 5 0 5 0 784 784.0 0 4 1 3 819 784 0.000000 1603 0 0 1 0 4 1 3 7 7 1 2 2 599.0 3 4 2 0.0 217 0 0.000000 0.000000 0 8 6
743 2204 50 3 68 15187.000000 1 0 1 0 4 1 6 3 3 0 0 5 6 1937 1995 1 0 12 14 3 4 1 3 3 3 1 606 5 0 336 942.0 0 0 1 3 1265 673 0.000000 1938 0 0 2 0 4 1 2 7 1 1 6 1 240.0 3 4 2 0.0 40 0 0.000000 0.000000 0 8 6
744 2205 50 3 68 20630.000000 1 0 1 0 4 0 6 1 3 0 0 5 4 1938 1950 1 0 11 13 3 4 0 3 3 3 5 0 5 0 884 884.0 0 4 1 1 932 442 0.000000 1374 0 0 1 0 3 1 3 6 7 0 6 1 225.0 3 4 2 64.0 0 0 0.000000 100.000000 0 8 6
745 2206 20 3 79 6190.000000 1 0 3 0 0 0 6 1 3 0 2 6 5 1951 1951 3 0 12 9 3 1 2 3 3 3 4 500 5 0 591 1091.0 0 1 0 0 1091 0 0.000000 1091 0 1 1 0 2 1 3 5 7 1 2 1 344.0 3 4 2 66.0 105 0 0.000000 153.453113 0 8 6
746 2207 70 3 100 6418.000000 1 0 1 0 4 1 6 3 3 0 4 8 6 1935 1950 1 0 3 11 3 4 2 3 0 3 3 210 5 0 398 608.0 0 4 1 3 983 890 0.000000 1873 0 0 1 1 4 1 3 9 7 2 6 2 786.0 0 4 2 0.0 0 66 0.000000 0.000000 0 8 3
747 2208 50 3 70 16607.000000 1 3 0 0 4 0 6 3 3 0 0 7 9 1950 2000 1 0 10 12 3 2 1 3 1 3 2 435 5 0 397 832.0 0 0 1 3 1218 943 0.000000 2161 1 0 2 1 3 1 2 8 7 2 2 2 506.0 3 4 2 0.0 96 0 0.000000 0.000000 0 8 6
748 2209 20 3 56 6271.000000 1 0 3 0 1 0 6 3 3 0 2 5 5 1956 1956 1 0 3 8 3 4 2 3 3 3 4 1116 5 0 782 1898.0 0 0 1 0 1898 0 0.000000 1898 0 0 2 1 3 1 3 7 7 2 2 2 484.0 3 4 2 0.0 51 66 0.000000 0.000000 0 8 6
749 2210 160 4 24 17398.000000 1 3 3 0 1 0 1 2 2 3 4 6 6 1980 1980 1 0 7 8 3 4 1 2 3 3 2 366 5 0 150 516.0 0 4 1 3 516 516 0.000000 1032 0 0 1 0 2 1 3 5 7 1 6 2 462.0 3 4 2 213.0 0 0 0.000000 0.000000 0 8 5
750 2211 30 4 50 13725.000000 1 3 3 0 4 0 9 2 2 0 2 6 8 1926 1998 1 0 10 12 3 2 0 3 3 3 4 299 2 40 555 894.0 0 4 1 3 919 0 0.000000 919 1 0 1 0 2 1 3 5 7 0 6 1 195.0 3 4 1 0.0 0 66 0.000000 0.000000 0 8 5
751 2212 50 4 60 8204.000000 1 3 3 0 4 0 9 2 2 0 0 6 8 1940 2006 1 0 10 12 3 4 1 1 3 3 5 0 5 0 720 720.0 0 2 1 3 760 330 0.000000 1090 0 0 1 0 3 1 3 5 7 0 6 1 240.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
752 2213 50 4 58 2472.000000 1 3 3 0 4 0 9 2 2 0 0 5 7 1930 1950 1 0 11 13 3 4 1 2 3 3 5 0 5 0 780 780.0 0 2 1 0 780 420 0.000000 1200 0 0 1 0 4 1 3 7 7 0 5 0 0.0 2 0 2 0.0 0 66 0.000000 0.000000 0 8 5
753 2214 80 4 75 9850.000000 1 3 3 0 4 0 9 2 2 0 6 5 5 1967 1967 3 0 6 9 1 4 1 2 3 2 4 257 5 0 367 624.0 0 0 1 3 1092 564 0.000000 1656 0 0 1 1 3 1 3 7 5 1 2 1 288.0 3 4 2 0.0 180 0 0.000000 100.000000 0 8 5
754 2215 30 4 60 7507.000000 1 3 3 0 4 0 9 2 2 0 2 5 7 1930 1995 1 0 11 13 3 4 0 3 3 3 5 0 5 0 520 520.0 0 4 1 0 912 0 0.000000 912 0 0 1 0 2 1 3 5 7 0 6 1 360.0 3 4 2 0.0 90 0 0.000000 0.000000 0 8 5
755 2216 50 4 75 7561.000000 1 3 3 0 4 0 9 2 2 0 0 5 5 1958 1958 1 0 12 14 3 4 1 3 3 3 0 330 5 0 821 1151.0 0 2 1 0 1151 804 0.000000 1955 0 0 2 0 4 1 3 7 7 0 2 1 356.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
756 2217 20 2 80 -2307.000000 1 3 2 0 4 1 9 3 3 0 2 1 5 1952 1952 1 0 0 12 1 3 4 1 2 2 3 0 2 0 0 0.0 3 3 0 0 733 0 0.000000 733 0 0 1 0 2 1 1 4 2 0 2 2 487.0 0 3 0 0.0 0 0 0.000000 0.000000 0 8 1
757 2218 70 0 60 9665.000000 1 3 3 0 0 0 9 1 3 0 4 4 7 1895 1950 1 0 11 13 3 4 3 1 0 3 5 0 5 0 173 173.0 0 0 0 3 825 536 0.000000 1361 0 0 1 0 2 1 3 6 7 0 6 1 185.0 0 4 2 0.0 123 0 0.000000 0.000000 0 8 6
758 2219 50 0 52 5625.000000 1 3 3 0 0 0 9 1 3 0 0 4 7 1910 2000 1 0 8 9 3 4 2 1 3 3 5 0 5 0 356 356.0 0 4 0 0 671 378 0.000000 1049 0 0 1 0 2 1 3 5 7 0 6 1 195.0 2 1 0 0.0 0 0 0.000000 0.000000 0 8 6
759 2220 70 0 60 12912.000000 0 3 0 0 4 0 9 3 3 0 4 4 6 1920 1950 1 0 7 8 3 4 3 1 0 2 5 0 5 0 592 592.0 0 0 1 3 432 432 0.000000 864 0 0 1 1 3 1 1 5 1 0 6 1 216.0 0 1 0 0.0 30 66 0.000000 0.000000 0 8 6
760 2221 120 4 44 5091.000000 1 0 1 0 4 1 6 2 2 4 2 8 5 2007 2008 3 0 5 5 0 4 2 0 3 1 2 1476 5 0 120 1596.0 0 0 1 3 1648 0 0.000000 1648 1 1 2 0 2 1 0 5 7 1 2 2 525.0 3 4 2 162.0 53 0 37.972624 0.000000 0 6 7
761 2222 120 4 44 10360.000000 1 0 1 0 4 1 6 2 2 4 2 7 5 2004 2005 3 0 5 5 2 4 2 0 3 1 2 1474 5 0 120 1594.0 0 0 1 3 1646 0 0.000000 1646 1 1 2 0 2 1 0 5 7 1 2 2 482.0 3 4 2 128.0 53 0 0.000000 153.453113 0 8 5
762 2223 20 3 68 3761.000000 1 1 3 0 4 0 11 3 3 0 2 7 5 1996 1997 1 0 7 8 2 4 2 0 3 2 2 700 5 0 1140 1840.0 0 0 1 3 2032 0 0.000000 2032 1 0 3 0 3 1 2 7 7 0 2 3 786.0 3 4 2 0.0 46 66 0.000000 0.000000 0 8 6
764 2225 90 3 76 630.000000 1 3 3 0 4 0 11 3 3 2 4 5 4 1976 1976 1 0 8 9 3 4 1 1 2 2 3 0 2 0 0 0.0 0 4 1 3 936 936 0.000000 1872 0 0 2 2 4 2 3 8 7 0 2 2 484.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 1
765 2226 20 3 74 20983.000000 1 3 3 0 4 0 11 3 3 0 2 4 5 1991 1991 1 0 6 6 3 4 2 2 3 3 0 1383 5 0 297 1680.0 0 2 1 3 1689 0 0.000000 1689 1 0 2 0 3 1 3 6 7 1 2 2 432.0 3 4 2 428.0 120 0 0.000000 0.000000 0 8 6
766 2227 120 3 42 7795.000000 1 0 3 0 4 0 23 3 3 4 2 7 6 1986 1986 1 0 10 12 2 4 1 2 3 0 2 893 5 0 384 1277.0 0 2 1 3 1501 0 0.000000 1501 1 0 2 0 2 1 2 6 7 1 2 2 512.0 3 4 2 240.0 0 0 0.000000 0.000000 0 8 6
767 2228 20 3 74 15890.000000 1 0 1 0 4 0 23 3 3 0 2 8 5 2006 2007 3 0 10 12 2 4 2 0 3 1 2 1036 5 0 482 1518.0 0 0 1 3 1537 0 0.000000 1537 1 0 2 0 3 1 2 8 7 0 2 3 788.0 3 4 2 0.0 26 0 0.000000 0.000000 0 8 6
768 2229 60 3 107 -1521.000000 1 0 1 0 0 0 23 3 3 0 4 8 5 2007 2007 1 0 10 12 2 4 2 2 3 0 2 770 5 0 150 920.0 0 0 1 3 920 860 0.000000 1780 1 0 2 1 3 1 2 6 7 1 2 2 612.0 3 4 2 0.0 192 0 0.000000 0.000000 0 6 7
770 2231 60 3 81 -1535.000000 1 0 1 0 0 0 23 3 3 0 4 7 5 2008 2008 1 0 10 12 2 4 2 2 3 0 5 0 5 0 796 796.0 0 0 1 3 796 816 0.000000 1612 0 0 2 1 3 1 2 6 7 0 2 3 666.0 3 4 2 0.0 64 0 0.000000 0.000000 0 6 7
771 2232 20 3 75 13313.000000 1 0 3 0 4 0 23 3 3 0 2 6 5 1989 1989 1 0 11 13 3 4 1 2 3 3 5 0 5 0 1495 1495.0 0 0 1 3 1495 0 0.000000 1495 0 0 2 0 3 1 3 8 7 1 2 2 438.0 3 4 2 252.0 0 66 0.000000 0.000000 0 8 6
772 2233 20 3 93 11508.000000 1 3 3 0 0 0 23 3 3 0 2 6 5 1986 1986 1 0 8 6 2 2 1 2 1 0 2 920 4 60 276 1256.0 0 0 1 3 1256 0 0.000000 1256 0 0 2 0 3 1 2 6 7 1 2 2 578.0 3 4 2 282.0 0 0 0.000000 0.000000 0 8 6
773 2234 20 3 82 11984.000000 1 0 3 0 4 0 23 3 3 0 2 8 5 2003 2003 3 0 10 12 2 4 2 0 3 0 2 1029 5 0 403 1432.0 0 0 1 3 1440 0 0.000000 1440 1 0 2 0 3 1 2 7 7 1 2 2 467.0 3 4 2 185.0 95 0 0.000000 0.000000 0 8 6
774 2235 20 3 68 11944.000000 1 0 3 0 4 0 23 3 3 0 2 6 5 1999 2000 3 0 10 12 2 4 2 0 3 2 2 1223 5 0 443 1666.0 0 0 1 3 1675 0 0.000000 1675 1 0 2 0 3 1 2 6 7 0 2 2 435.0 3 4 2 165.0 52 0 0.000000 0.000000 0 8 6
775 2236 20 3 79 6255.000000 1 0 1 0 4 0 23 3 3 0 2 8 5 2007 2007 1 0 10 12 2 4 2 2 3 0 2 1011 5 0 873 1884.0 0 0 1 3 1728 0 0.000000 1728 1 0 2 0 3 1 2 7 7 1 2 2 520.0 3 4 2 0.0 276 0 0.000000 0.000000 0 8 6
776 2237 20 3 85 7854.000000 1 0 3 0 4 0 23 3 3 0 2 8 5 2005 2006 1 0 10 12 2 4 2 0 3 0 2 1571 5 0 393 1964.0 0 0 1 3 1964 0 0.000000 1964 1 0 2 1 3 1 2 7 7 1 2 3 892.0 3 4 2 0.0 265 0 0.000000 0.000000 0 8 6
777 2238 90 4 97 11374.000000 1 0 3 0 0 0 11 2 2 2 5 7 5 1997 1998 1 0 10 12 3 2 2 2 1 1 2 1309 5 0 35 1344.0 0 0 1 3 1344 0 0.000000 1344 2 0 2 0 2 2 3 8 7 0 2 4 784.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 3
778 2239 20 3 77 18678.000000 1 3 3 0 2 0 11 1 0 0 2 5 5 2007 2008 1 0 10 12 3 4 2 2 3 3 5 0 5 0 1092 1092.0 0 0 1 3 1092 0 0.000000 1092 0 0 1 0 2 1 3 5 7 0 5 0 0.0 2 0 2 0.0 52 0 0.000000 0.000000 0 8 1
779 2240 120 4 32 8210.000000 1 3 3 0 2 0 11 2 2 4 2 6 5 1997 1997 3 0 10 12 3 4 2 0 3 3 2 864 5 0 325 1189.0 0 0 1 3 1189 0 0.000000 1189 1 0 2 0 2 1 3 4 7 0 2 2 392.0 3 4 2 0.0 122 0 0.000000 0.000000 0 8 5
780 2241 85 3 150 5068.000000 1 3 3 0 0 0 11 3 3 0 5 4 5 1964 1964 1 0 6 6 3 4 1 2 3 0 0 132 3 247 88 1200.0 0 2 1 3 1200 0 0.000000 1200 1 0 1 0 3 1 3 6 7 0 0 3 850.0 3 4 2 0.0 119 0 0.000000 153.453113 0 3 6
781 2242 120 4 68 3608.000000 1 3 3 0 4 0 10 2 2 4 2 5 6 1975 1975 1 0 5 5 3 4 2 2 3 3 2 769 5 0 271 1040.0 0 2 1 3 1040 0 0.000000 1040 0 0 1 0 3 1 3 6 7 0 2 2 499.0 3 4 2 0.0 100 0 0.000000 0.000000 0 8 5
782 2243 160 4 41 10800.000000 1 3 3 0 4 0 10 2 2 4 4 5 7 1976 1976 1 0 5 5 3 4 2 2 3 3 0 318 5 0 232 550.0 0 4 1 3 925 550 0.000000 1475 0 0 2 0 4 1 3 6 7 1 2 1 336.0 3 4 2 92.0 26 0 0.000000 0.000000 0 8 5
783 2244 180 4 21 16122.000000 1 3 3 0 4 0 10 2 2 3 5 4 7 1973 2006 1 0 5 5 3 2 1 2 3 0 2 501 5 0 25 526.0 0 2 1 3 526 462 0.000000 988 1 0 1 0 2 1 3 5 7 0 4 1 297.0 3 4 2 120.0 101 0 0.000000 0.000000 0 8 5
784 2245 180 4 21 -1199.000000 1 3 3 0 4 0 10 2 2 3 6 4 6 1973 1973 1 0 5 5 3 4 1 2 3 1 2 437 5 0 25 462.0 0 4 1 3 526 462 0.000000 988 1 0 1 0 1 1 3 4 7 1 4 1 297.0 3 4 2 0.0 101 0 37.972624 0.000000 0 8 5
785 2246 20 3 68 6577.000000 1 0 3 0 0 0 11 3 3 0 2 5 6 1968 1968 1 0 8 9 3 2 1 3 3 3 0 785 5 0 328 1113.0 0 0 1 3 1160 0 0.000000 1160 1 0 1 0 3 1 2 6 7 0 2 1 257.0 3 4 2 81.0 0 0 0.000000 0.000000 0 8 6
786 2247 160 4 21 12210.000000 1 3 3 0 4 0 10 2 2 3 4 6 9 1970 2007 1 0 5 5 3 2 1 3 3 3 2 358 5 0 188 546.0 0 0 1 3 546 546 0.000000 1092 0 0 2 1 3 1 3 6 7 0 5 0 0.0 2 0 2 187.0 0 0 0.000000 0.000000 0 8 5
787 2248 20 3 59 6845.000000 1 3 3 0 4 0 11 3 3 0 2 5 7 1983 1983 1 0 10 12 3 2 1 3 3 3 2 534 5 0 282 816.0 0 0 1 3 816 0 0.000000 816 0 1 1 0 2 1 3 4 7 0 2 1 264.0 3 4 2 315.0 0 0 0.000000 0.000000 0 8 6
790 2251 70 2 68 11492.000000 1 0 2 0 4 0 9 3 3 0 3 5 1 1900 1950 3 0 11 13 3 4 0 3 3 3 5 0 5 0 686 686.0 0 0 1 3 1150 686 0.000000 1836 0 0 2 0 4 1 3 7 3 0 6 1 288.0 3 1 0 0.0 0 0 0.000000 0.000000 0 8 6
792 2253 80 3 56 8364.000000 1 0 1 0 4 0 8 3 3 0 6 6 5 1997 1997 1 0 10 12 3 4 2 2 3 3 5 0 5 0 384 384.0 0 2 1 3 754 630 0.000000 1384 0 0 2 1 3 1 3 7 7 1 4 2 390.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
794 2255 60 3 68 11765.000000 1 0 3 0 4 0 8 3 3 0 4 6 5 1999 2000 1 0 10 12 3 4 2 2 3 3 0 871 5 0 52 923.0 0 2 1 3 947 767 0.000000 1714 1 0 2 1 3 1 3 7 7 1 2 2 451.0 3 4 2 256.0 48 0 0.000000 0.000000 0 8 1
796 2257 60 3 60 6037.000000 1 3 3 0 4 0 8 3 3 0 4 6 5 1999 2003 1 0 10 12 3 4 2 2 3 3 5 0 5 0 938 938.0 0 0 1 3 957 1342 0.000000 2299 0 0 3 1 5 1 3 7 7 1 2 2 482.0 3 4 2 188.0 30 0 0.000000 0.000000 0 8 6
799 2260 20 3 160 18494.000000 0 3 3 0 4 0 8 3 3 0 2 6 6 1964 1964 1 0 6 6 3 4 1 3 3 0 1 132 5 0 752 1302.0 0 1 1 3 1128 0 0.000000 1128 1 0 1 0 3 1 3 6 7 1 2 2 480.0 3 4 1 0.0 108 66 0.000000 0.000000 0 8 3
800 2261 120 3 38 24752.748671 1 0 3 0 4 0 22 3 3 4 2 8 5 1988 1988 1 0 5 5 2 4 1 2 3 1 2 248 5 0 918 1166.0 0 2 1 3 1179 0 0.000000 1179 1 0 2 0 2 1 3 5 7 0 2 2 480.0 3 4 2 0.0 108 0 0.000000 135.000000 0 8 6
801 2262 120 3 35 9925.000000 1 0 1 0 4 0 22 3 3 4 2 8 5 1990 1990 1 0 5 5 2 4 2 2 3 1 2 926 5 0 386 1312.0 0 2 1 3 1321 0 0.000000 1321 1 0 1 0 1 1 2 4 7 1 2 2 484.0 3 4 2 0.0 64 66 0.000000 0.000000 0 8 6
802 2263 60 3 98 2346.000000 1 0 3 0 4 0 22 3 3 0 4 8 5 2005 2005 3 0 10 12 2 4 2 0 3 2 2 986 5 0 163 1149.0 0 0 1 3 1164 1377 0.000000 2541 1 0 3 1 4 1 0 10 7 1 4 3 729.0 3 4 2 120.0 32 0 0.000000 0.000000 0 8 6
803 2264 20 3 52 4464.000000 1 0 3 0 1 0 22 5 3 0 2 9 5 2006 2007 3 0 10 12 0 4 2 0 3 0 2 1101 5 0 1559 2660.0 0 0 1 3 2338 0 0.000000 2338 1 0 2 1 4 1 2 8 7 2 2 3 1110.0 1 4 2 0.0 135 0 0.000000 153.453113 0 6 7
804 2265 190 3 195 12916.000000 1 0 3 0 2 0 8 3 3 1 2 5 5 1969 1990 1 0 6 6 3 4 1 2 3 1 0 132 5 0 53 1100.0 1 4 1 3 1424 0 0.000000 1424 1 0 1 1 3 1 3 7 5 0 1 3 828.0 3 4 0 144.0 0 0 0.000000 0.000000 0 8 6
805 2266 120 3 61 12568.000000 1 0 1 0 4 0 22 3 3 4 2 9 5 2006 2006 1 0 7 8 2 4 2 0 3 1 2 797 5 0 815 1612.0 0 0 1 3 1612 0 0.000000 1612 1 0 2 0 2 1 0 6 7 1 2 2 556.0 3 4 2 0.0 164 0 0.000000 0.000000 0 8 6
806 2267 20 3 85 12471.000000 1 0 1 0 4 0 22 3 3 0 2 8 5 2006 2006 3 0 10 12 2 4 2 0 1 1 2 1558 5 0 662 2220.0 0 0 1 3 2234 0 0.000000 2234 1 0 1 1 1 1 2 7 7 1 2 2 724.0 3 4 2 390.0 80 0 0.000000 0.000000 0 8 6
807 2268 20 3 81 12266.000000 1 0 1 0 4 0 22 4 4 0 2 10 5 2006 2007 3 0 5 5 0 4 2 0 3 1 2 1152 5 0 590 1742.0 0 0 1 3 2042 0 0.000000 2042 1 0 2 0 3 1 0 8 7 1 2 3 724.0 3 4 2 240.0 52 0 0.000000 153.453113 0 6 7
808 2269 20 3 68 -939.000000 1 0 3 0 4 0 14 3 3 0 2 6 5 1984 1984 3 0 6 6 3 4 1 2 3 3 2 256 5 0 1028 1284.0 0 4 1 3 1284 0 0.000000 1284 1 0 2 0 3 1 3 5 7 0 2 2 480.0 3 4 2 0.0 0 66 0.000000 0.000000 0 0 1
811 2272 60 3 61 13709.000000 1 0 3 0 4 0 14 4 3 0 4 7 5 1979 1979 3 2 6 9 3 4 1 2 3 3 0 758 5 0 22 780.0 0 4 1 3 1085 845 0.000000 1930 1 0 2 1 4 1 2 9 7 1 2 2 481.0 3 4 2 192.0 72 0 0.000000 0.000000 0 8 6
814 2275 20 3 128 8107.000000 1 0 3 0 4 0 14 5 3 0 2 6 5 1971 1971 3 0 6 6 3 4 1 3 3 2 0 492 1 121 1012 1625.0 0 4 1 3 1220 0 0.000000 1220 0 1 2 0 2 1 3 6 7 1 2 2 944.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
815 2276 80 3 64 4319.000000 1 0 3 0 1 0 14 5 3 0 6 7 6 1976 1976 1 0 8 9 3 4 1 2 3 1 2 624 4 430 0 1228.0 0 4 1 3 1324 0 0.000000 1324 0 1 2 0 3 1 2 5 7 1 2 2 585.0 3 4 2 407.0 36 0 0.000000 0.000000 0 8 6
816 2277 60 3 80 10586.000000 1 3 3 0 4 0 14 5 3 0 4 6 6 1974 1974 1 0 6 6 3 4 1 3 3 3 0 931 3 153 0 1084.0 0 4 1 3 1084 793 0.000000 1877 1 0 2 1 4 1 3 8 7 1 2 2 488.0 3 4 2 0.0 96 0 0.000000 0.000000 0 8 6
817 2278 20 3 63 6921.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1970 1990 1 0 7 8 3 4 1 3 3 3 0 566 5 0 359 925.0 0 4 1 3 1422 0 0.000000 1422 1 0 1 0 3 1 3 7 1 0 6 2 576.0 3 4 2 252.0 0 0 0.000000 0.000000 0 8 6
818 2279 20 3 66 20136.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1970 2002 1 0 6 6 3 4 1 3 3 3 0 81 2 430 214 914.0 0 0 1 3 914 0 0.000000 914 0 0 1 0 3 1 0 5 7 0 2 1 368.0 3 2 2 120.0 0 0 0.000000 0.000000 0 8 6
819 2280 20 3 68 13280.000000 1 3 3 0 2 0 12 3 3 0 2 4 7 1961 1961 1 0 7 8 3 2 0 3 3 3 0 314 5 0 600 914.0 0 0 1 3 914 0 0.000000 914 0 0 1 0 2 1 3 4 7 0 3 1 270.0 0 4 2 140.0 0 0 0.000000 0.000000 0 8 6
820 2281 120 2 33 185.000000 1 0 3 0 4 0 12 3 3 4 2 6 5 2001 2001 1 0 7 8 2 4 2 2 3 2 5 0 5 0 1337 1337.0 0 0 1 3 1337 0 0.000000 1337 0 0 2 0 2 1 2 5 7 1 2 2 511.0 3 4 2 136.0 68 0 0.000000 0.000000 0 8 6
821 2282 120 2 26 -4265.000000 1 1 3 0 2 0 12 3 3 4 2 6 5 1997 1998 1 0 7 8 2 4 2 2 3 3 2 930 5 0 475 1405.0 0 0 1 3 1337 0 0.000000 1337 1 0 2 0 2 1 2 5 7 1 2 2 522.0 3 4 2 0.0 68 0 0.000000 0.000000 0 8 6
822 2283 160 4 21 16783.000000 1 3 3 0 4 0 2 2 2 3 4 6 6 1973 1973 1 0 6 6 3 4 1 3 3 3 0 312 5 0 213 525.0 0 4 1 3 525 567 0.000000 1092 0 0 1 1 3 1 3 6 7 0 6 1 264.0 3 4 2 144.0 0 0 0.000000 0.000000 0 8 5
823 2284 160 4 21 12903.000000 1 3 3 0 4 0 2 2 2 3 4 6 5 1973 1973 1 0 6 6 3 4 1 3 3 3 5 0 5 0 672 672.0 0 0 1 3 672 546 0.000000 1218 0 0 1 1 4 1 0 7 7 0 6 1 264.0 3 4 2 0.0 28 0 0.000000 0.000000 0 8 5
824 2285 120 3 24 20603.000000 1 3 3 0 4 0 13 3 3 3 2 7 7 1978 1978 1 0 8 2 3 4 1 2 3 3 2 632 5 6 423 1061.0 0 4 1 3 1055 0 0.000000 1055 0 0 2 0 2 1 3 4 7 0 2 1 319.0 3 4 2 108.0 32 0 0.000000 0.000000 0 8 6
825 2286 20 3 65 7613.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1966 1966 3 0 6 6 3 4 1 3 3 3 1 725 5 0 263 988.0 0 4 1 3 988 0 0.000000 988 1 0 1 0 3 1 3 5 7 0 6 1 360.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
826 2287 20 3 96 9978.000000 1 3 3 0 2 0 16 3 3 0 2 9 5 2006 2007 3 0 10 12 0 4 2 0 3 1 2 1151 5 0 639 1790.0 0 0 1 3 1816 0 0.000000 1816 1 0 2 0 3 1 0 7 7 1 2 3 730.0 3 4 2 186.0 36 0 0.000000 0.000000 0 6 7
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835 2296 60 3 134 8630.000000 1 0 3 0 0 0 16 3 3 0 4 8 5 2007 2008 1 0 10 12 2 4 2 2 3 3 5 132 5 0 1582 1582.0 0 0 1 3 1582 570 0.000000 2152 0 0 2 1 3 1 2 7 7 1 6 2 728.0 3 4 2 0.0 311 0 0.000000 0.000000 0 6 7
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850 2311 120 3 48 6341.000000 1 3 3 0 4 0 16 3 3 4 2 7 5 2003 2003 1 0 10 14 2 4 2 2 3 3 2 1000 5 0 405 1405.0 0 0 1 3 1405 0 0.000000 1405 1 0 2 0 2 1 2 6 7 1 2 2 478.0 3 4 2 136.0 36 0 0.000000 0.000000 0 8 6
851 2312 60 3 59 7723.000000 1 0 3 0 4 0 8 7 3 0 4 6 5 2007 2007 1 0 10 12 2 4 1 2 3 3 5 0 5 0 768 768.0 0 0 1 3 768 728 0.000000 1496 0 0 3 0 3 1 2 7 7 0 2 2 572.0 3 4 2 100.0 0 0 0.000000 0.000000 0 6 7
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853 2314 60 3 58 16085.000000 1 0 3 0 4 0 8 7 3 0 4 7 5 2006 2007 1 0 10 12 3 4 2 2 3 3 5 0 5 0 608 608.0 0 0 1 3 608 850 0.000000 1458 0 0 2 0 3 1 2 6 7 0 4 2 454.0 3 4 2 100.0 33 0 0.000000 0.000000 0 6 7
854 2315 60 3 62 12078.000000 1 0 3 0 4 0 8 3 3 0 4 6 5 2006 2006 1 0 10 12 2 4 2 2 3 3 5 0 5 0 738 738.0 0 0 1 3 738 757 0.000000 1495 0 0 2 1 3 1 2 7 7 1 2 2 440.0 3 4 2 100.0 30 0 0.000000 0.000000 0 6 7
855 2316 60 3 63 8943.000000 1 0 3 0 4 0 8 3 3 0 4 6 5 2006 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 698 698.0 0 0 1 3 698 1048 0.000000 1746 1 0 2 1 3 1 2 6 7 1 4 3 350.0 3 4 2 0.0 34 0 0.000000 0.000000 0 6 7
856 2317 20 3 88 14964.000000 1 0 3 0 0 0 8 3 3 0 2 6 5 2005 2005 1 0 10 12 3 4 2 2 3 0 2 918 5 0 408 1326.0 0 0 1 3 1326 0 0.000000 1326 1 0 2 0 3 1 2 6 7 0 2 2 388.0 3 4 2 120.0 23 0 0.000000 0.000000 0 8 6
857 2318 60 3 72 11959.000000 1 0 3 0 4 0 8 3 3 0 4 6 5 2007 2007 1 0 10 12 2 4 2 2 3 0 5 0 5 0 752 752.0 0 0 1 3 752 752 0.000000 1504 0 0 2 1 3 1 2 6 7 0 2 2 440.0 3 4 2 100.0 32 0 0.000000 0.000000 0 6 7
858 2319 60 3 64 6961.000000 1 3 3 0 4 0 8 3 3 0 4 7 5 2007 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 728 728.0 0 0 1 3 728 728 0.000000 1456 0 0 2 1 3 1 2 7 7 0 2 2 400.0 3 4 2 100.0 24 0 0.000000 0.000000 0 6 7
859 2320 20 3 64 20.000000 1 3 3 0 4 0 8 3 3 0 2 7 6 2007 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1246 1246.0 0 0 1 3 1258 0 0.000000 1258 0 0 2 0 3 1 2 6 7 0 2 2 462.0 3 4 2 0.0 0 0 0.000000 0.000000 0 6 7
860 2321 120 3 68 13546.000000 1 3 3 0 4 0 0 3 3 4 2 8 5 2003 2003 3 0 10 12 2 4 2 2 3 1 2 1084 5 0 322 1406.0 0 0 1 3 1589 0 0.000000 1589 1 0 2 0 2 1 2 7 7 1 2 3 630.0 3 4 2 143.0 20 0 0.000000 0.000000 0 8 6
861 2322 20 3 53 5997.000000 1 3 3 0 4 0 0 3 3 0 2 7 5 2007 2007 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1266 1266.0 0 0 1 3 1266 0 0.000000 1266 0 0 2 0 2 1 2 6 7 1 2 2 388.0 3 4 2 100.0 16 0 0.000000 0.000000 0 6 7
863 2324 80 3 87 13924.000000 1 0 3 0 0 0 8 3 3 0 6 7 5 2004 2004 1 0 10 12 2 4 2 2 3 3 2 192 5 0 192 384.0 0 0 1 3 744 630 0.000000 1374 1 0 2 1 3 1 2 8 7 1 4 2 400.0 3 4 2 100.0 0 0 0.000000 0.000000 0 8 4
864 2325 20 3 59 15186.000000 1 0 3 0 4 0 8 3 3 0 2 7 5 2006 2006 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1510 1510.0 0 0 1 3 1525 0 0.000000 1525 0 0 2 1 3 1 2 6 7 1 2 2 534.0 3 4 2 100.0 18 0 0.000000 0.000000 0 6 7
869 2330 60 3 59 970.000000 1 0 3 0 4 0 8 3 3 0 4 6 5 1999 2000 1 0 10 12 3 4 2 2 3 3 5 0 5 0 941 941.0 0 0 1 3 961 683 0.000000 1644 0 0 2 1 3 1 3 7 7 1 2 2 460.0 3 4 2 460.0 42 0 0.000000 0.000000 0 8 6
870 2331 60 3 100 8220.000000 1 0 3 0 4 0 15 3 3 0 4 8 5 1997 1998 3 0 10 12 2 4 2 2 3 0 2 1181 5 0 598 1779.0 0 0 1 3 1779 772 0.000000 2551 1 0 2 1 4 1 2 8 7 2 2 3 925.0 3 4 2 76.0 61 0 0.000000 0.000000 0 8 6
871 2332 60 3 89 9731.000000 1 0 3 0 4 0 15 3 3 0 4 9 5 1998 1998 1 0 7 8 2 4 2 0 3 1 2 672 5 0 736 1408.0 0 0 1 3 1671 1407 0.000000 3078 1 0 2 1 4 1 2 9 7 1 2 3 806.0 3 4 2 108.0 87 0 0.000000 0.000000 0 8 6
874 2335 60 3 88 9137.000000 1 3 3 0 4 0 15 3 3 0 4 8 5 1992 1993 1 0 10 12 2 4 2 0 3 3 2 335 5 0 770 1105.0 0 0 1 3 1105 1097 0.000000 2202 1 0 2 1 4 1 2 9 7 1 2 2 517.0 3 4 2 0.0 65 0 0.000000 144.000000 0 8 6
875 2336 60 3 82 11582.000000 1 0 3 0 4 0 15 3 3 0 4 8 5 1996 1997 1 0 10 12 2 2 2 2 3 3 2 1225 5 0 100 1325.0 0 0 1 3 1335 1203 0.000000 2538 0 0 2 1 4 1 2 8 7 1 2 3 933.0 3 4 2 198.0 92 0 0.000000 0.000000 0 8 6
876 2337 20 3 75 6680.000000 1 3 3 0 4 0 21 1 3 0 2 7 6 2007 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1369 1369.0 0 0 1 3 1369 0 0.000000 1369 0 0 2 0 3 1 2 5 7 0 2 2 605.0 3 4 2 0.0 203 0 0.000000 0.000000 0 6 7
877 2338 20 3 91 11488.000000 1 3 3 0 4 0 21 1 3 0 2 8 5 2007 2007 1 0 10 12 2 4 2 2 3 3 2 1220 5 0 322 1542.0 0 0 1 3 1542 0 0.000000 1542 1 0 2 0 3 1 2 6 7 1 2 3 852.0 3 4 2 168.0 110 0 0.000000 0.000000 0 6 7
878 2339 20 3 76 7711.000000 1 3 3 0 4 0 21 3 3 0 2 8 5 2006 2006 1 0 10 12 2 4 2 2 3 2 2 28 5 0 1496 1524.0 0 2 1 3 1534 0 0.000000 1534 0 0 2 0 3 1 2 7 7 1 2 2 484.0 3 4 2 168.0 46 0 0.000000 0.000000 0 8 4
879 2340 20 3 98 8176.000000 1 0 3 0 4 0 21 3 3 0 2 10 5 2007 2007 3 0 5 5 0 4 2 0 3 0 2 1572 5 0 394 1966.0 0 0 1 3 1966 0 0.000000 1966 1 0 2 0 1 1 0 6 7 1 2 3 1092.0 3 4 2 76.0 52 0 0.000000 0.000000 0 6 7
880 2341 20 3 85 1026.000000 1 3 3 0 2 0 21 1 3 0 2 7 5 2007 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1528 1528.0 0 0 1 3 1528 0 0.000000 1528 0 0 3 2 3 1 2 6 7 1 2 2 480.0 3 4 2 0.0 228 0 0.000000 0.000000 0 6 7
881 2342 20 3 74 12380.000000 1 3 3 0 4 0 21 3 3 0 2 8 5 2005 2005 1 0 10 12 2 4 2 2 3 0 2 769 5 0 769 1538.0 0 0 1 3 1538 0 0.000000 1538 1 0 2 0 3 1 2 7 7 0 2 2 484.0 3 4 2 146.0 40 0 0.000000 0.000000 0 8 6
882 2343 20 3 70 2530.000000 1 3 3 0 4 0 21 3 3 0 2 7 5 2005 2006 1 0 10 12 2 4 2 2 1 0 2 778 5 0 716 1494.0 0 0 1 3 1506 0 0.000000 1506 1 0 2 0 3 1 2 7 7 1 2 2 672.0 3 4 2 192.0 35 0 0.000000 0.000000 0 8 6
883 2344 60 3 70 6973.000000 1 3 3 0 4 0 21 3 3 0 4 7 5 2006 2006 1 0 10 12 2 4 2 2 3 3 5 0 5 0 982 982.0 0 0 1 3 982 995 0.000000 1977 0 0 2 1 3 1 2 7 7 0 2 3 574.0 3 4 2 240.0 53 0 0.000000 0.000000 0 8 4
885 2346 20 1 72 5097.000000 1 3 3 0 4 0 21 3 3 0 2 8 5 2007 2007 1 0 10 12 2 4 2 2 3 3 2 24 5 0 1314 1338.0 0 0 1 3 1338 0 0.000000 1338 0 0 2 0 3 1 2 6 7 0 2 2 598.0 3 4 2 0.0 141 0 0.000000 0.000000 0 6 7
886 2347 20 1 75 10888.000000 1 3 3 0 4 0 21 3 3 0 2 7 5 2006 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1335 1335.0 0 0 1 3 1335 0 0.000000 1335 0 0 2 0 3 1 2 6 7 0 2 2 575.0 3 4 2 0.0 210 0 0.000000 0.000000 0 6 7
887 2348 60 1 72 8604.000000 1 3 3 0 4 0 21 3 3 0 4 8 5 2007 2007 1 0 10 12 2 4 2 2 3 0 2 350 5 0 546 896.0 0 0 1 3 896 896 0.000000 1792 0 0 2 1 3 1 2 8 7 0 2 2 590.0 3 4 2 184.0 96 0 0.000000 0.000000 0 6 7
888 2349 60 1 81 9407.000000 1 3 3 0 0 0 21 3 3 0 4 5 5 2007 2007 1 0 10 12 2 4 1 2 3 2 5 0 5 0 725 725.0 0 0 1 3 725 863 0.000000 1588 0 0 3 0 3 1 2 8 7 0 2 2 561.0 3 4 2 0.0 0 0 0.000000 0.000000 0 6 7
889 2350 60 1 112 11886.000000 1 0 3 0 4 0 21 3 3 0 4 8 5 2007 2007 3 0 12 14 2 4 2 0 3 0 2 745 5 0 210 955.0 0 0 1 3 955 925 0.000000 1880 1 0 2 1 3 1 0 8 7 1 2 3 880.0 3 4 2 168.0 127 0 0.000000 0.000000 0 6 7
890 2351 20 1 84 12925.000000 1 3 3 0 0 0 21 3 3 0 2 8 5 2007 2007 1 0 5 5 0 4 2 2 3 2 5 0 5 0 1574 1574.0 0 0 1 3 1584 0 0.000000 1584 0 0 2 0 2 1 0 6 7 1 2 2 594.0 3 4 2 0.0 256 0 0.000000 0.000000 0 6 7
891 2352 20 1 100 16361.000000 1 0 3 0 0 0 21 3 3 0 2 8 5 2006 2006 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1685 1685.0 0 0 1 3 1685 0 0.000000 1685 0 0 2 0 2 1 2 5 7 1 2 3 658.0 3 4 2 112.0 63 0 0.000000 0.000000 0 8 6
892 2353 60 1 85 4127.000000 1 3 3 0 4 0 21 3 3 0 4 6 5 2004 2004 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1158 1158.0 0 0 1 3 1158 1285 0.000000 2443 0 0 2 1 4 1 2 9 1 1 4 3 744.0 3 4 2 193.0 127 0 0.000000 0.000000 0 8 6
893 2354 20 3 63 11786.000000 1 3 3 0 4 0 20 3 3 0 2 6 5 2006 2007 1 0 10 12 3 4 2 2 3 3 5 0 5 0 1100 1100.0 0 0 1 3 1100 0 0.000000 1100 0 0 1 1 3 1 3 6 7 0 5 0 0.0 2 0 2 0.0 136 0 0.000000 0.000000 0 6 7
894 2355 20 3 63 16354.000000 1 3 3 0 4 0 20 3 3 0 2 7 5 2006 2006 1 0 10 12 2 4 2 2 1 3 5 0 5 0 1143 1143.0 0 0 1 3 1143 0 0.000000 1143 0 0 1 1 3 1 2 5 7 0 5 0 0.0 2 0 2 0.0 55 0 0.000000 0.000000 0 8 6
895 2356 20 3 60 16010.000000 1 3 3 0 4 0 20 6 3 0 2 5 5 2003 2004 1 0 10 12 2 4 2 2 3 3 2 729 5 0 365 1094.0 0 0 1 3 1094 0 0.000000 1094 1 0 1 0 3 1 2 6 7 0 6 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
898 2359 160 3 50 12893.000000 1 3 3 0 4 0 20 3 3 4 4 6 5 1980 1980 1 0 8 9 3 4 1 3 3 3 5 0 5 0 630 630.0 0 0 1 3 630 636 0.000000 1266 0 0 1 1 2 1 3 5 7 2 2 1 283.0 3 4 2 340.0 0 0 0.000000 0.000000 0 8 6
899 2360 20 3 64 4143.000000 1 3 3 0 4 0 19 3 3 0 2 5 5 1977 1977 1 0 8 9 3 4 1 2 3 3 3 138 4 351 405 894.0 0 4 1 3 894 0 0.000000 894 1 0 1 0 2 1 3 5 7 0 6 1 308.0 3 4 2 192.0 0 0 0.000000 0.000000 0 8 6
901 2362 60 3 68 12489.000000 1 0 0 0 4 0 24 3 3 0 4 7 5 1990 1990 1 0 6 6 2 4 2 2 3 3 2 727 5 0 496 1223.0 0 2 1 3 1271 1232 0.000000 2503 1 0 2 1 3 1 2 7 7 1 2 2 564.0 3 4 2 0.0 99 0 0.000000 153.453113 0 8 6
902 2363 20 3 44 9492.000000 1 0 3 0 1 0 19 6 3 0 2 5 5 1974 1974 1 0 8 9 3 4 1 1 3 1 0 787 5 0 250 1037.0 0 4 1 3 1037 0 0.000000 1037 1 0 1 0 2 1 3 5 7 0 2 2 431.0 3 4 2 136.0 47 0 0.000000 0.000000 0 8 6
903 2364 20 3 43 13076.000000 1 0 3 0 1 0 19 6 3 0 2 6 7 1973 2006 1 0 5 5 3 4 1 2 3 2 0 968 5 0 76 1044.0 0 4 1 3 1055 0 0.000000 1055 1 0 1 0 2 1 2 5 7 1 2 2 542.0 3 4 2 455.0 0 0 0.000000 0.000000 0 8 1
904 2365 120 1 45 14686.000000 1 0 3 0 2 0 21 3 3 4 2 8 5 2004 2004 1 0 7 8 2 4 2 2 3 0 2 851 5 0 527 1378.0 0 0 1 3 1378 0 0.000000 1378 1 0 2 0 2 1 2 6 7 1 2 2 540.0 3 4 2 160.0 56 0 0.000000 0.000000 0 8 6
905 2366 120 1 80 6769.000000 1 0 3 0 4 0 21 3 3 4 2 8 5 2006 2007 1 0 10 12 2 4 2 2 3 3 2 60 5 0 1081 1141.0 0 0 1 3 1151 0 0.000000 1151 1 0 2 0 2 1 2 5 7 0 2 2 484.0 3 4 2 0.0 60 0 0.000000 0.000000 0 6 7
906 2367 120 1 32 7411.000000 1 0 3 0 4 0 21 3 3 4 2 8 5 2006 2007 1 0 10 12 2 4 2 2 3 3 2 60 5 0 1451 1511.0 0 0 1 3 1565 0 0.000000 1565 1 0 2 0 2 1 2 5 7 0 2 2 476.0 3 4 2 0.0 120 0 0.000000 0.000000 0 6 7
907 2368 120 1 40 8303.000000 1 3 3 0 4 0 21 3 3 4 2 7 5 2006 2007 1 0 10 12 2 4 2 0 1 3 2 937 5 0 415 1352.0 0 0 1 3 1352 0 0.000000 1352 1 0 2 0 2 1 2 5 7 1 2 2 466.0 3 4 2 0.0 241 0 0.000000 0.000000 0 6 7
908 2369 120 1 30 12750.000000 1 1 3 0 4 0 21 3 3 4 2 8 5 2006 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1550 1550.0 0 0 1 3 1550 0 0.000000 1550 0 0 2 1 2 1 2 5 7 0 2 2 528.0 3 4 2 0.0 102 0 0.000000 0.000000 0 6 7
909 2370 160 1 24 9242.000000 1 3 3 0 4 0 21 3 3 3 4 6 5 1999 1999 1 0 7 8 3 4 2 2 3 3 2 565 5 0 179 744.0 0 2 1 3 757 744 0.000000 1501 1 0 2 1 3 1 3 6 7 1 6 2 440.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
910 2371 160 1 24 12216.000000 1 3 3 0 4 0 21 3 3 3 4 6 5 2000 2000 1 0 7 8 2 4 2 2 3 3 2 417 5 0 339 756.0 0 0 1 3 769 804 0.000000 1573 0 0 2 1 3 1 2 4 7 0 6 2 440.0 3 4 2 0.0 32 0 0.000000 0.000000 0 8 6
911 2372 20 1 73 13548.000000 1 0 3 0 4 0 21 3 3 0 2 7 5 1999 2000 1 0 5 5 2 4 2 2 3 3 5 0 5 0 1339 1339.0 0 0 1 3 1358 0 0.000000 1358 0 0 2 0 3 1 2 5 7 0 6 2 625.0 3 4 2 176.0 174 0 0.000000 0.000000 0 0 6
912 2373 60 1 68 7857.000000 1 0 3 0 4 0 21 3 3 0 4 8 5 2003 2004 3 0 5 5 2 4 2 0 3 3 2 964 5 0 90 1054.0 0 0 1 3 1072 976 0.000000 2048 1 0 2 1 3 1 2 8 7 2 6 2 552.0 3 4 2 0.0 48 0 0.000000 153.453113 0 8 6
913 2374 60 1 106 14309.000000 1 0 3 0 4 0 21 3 3 0 4 8 5 1998 1998 1 0 10 12 2 2 2 0 3 2 2 901 5 0 319 1220.0 0 0 1 3 1220 1142 0.000000 2362 1 0 2 1 3 1 2 8 7 2 2 2 1105.0 1 4 2 147.0 0 36 0.000000 144.000000 0 8 6
914 2375 120 3 50 18970.000000 1 1 3 0 2 0 24 3 3 4 2 8 5 1994 1995 1 0 3 3 2 4 2 2 3 1 3 457 0 430 0 1494.0 0 0 1 3 1494 0 0.000000 1494 1 0 1 1 1 1 2 5 7 1 2 2 478.0 3 4 2 0.0 30 0 0.000000 153.453113 0 8 6
915 2376 20 3 80 14274.000000 1 3 3 0 4 0 24 3 3 0 2 7 6 1980 1980 3 0 10 8 2 4 1 2 3 3 2 1732 5 0 270 2002.0 0 0 1 3 2362 0 0.000000 2362 1 0 2 1 3 1 2 8 7 1 2 2 546.0 1 4 2 180.0 16 0 0.000000 0.000000 0 8 6
916 2377 20 3 94 1776.000000 1 0 3 0 4 0 24 3 3 0 2 8 5 1981 1981 3 0 3 3 2 4 1 2 3 1 0 1632 4 430 0 2461.0 0 2 1 3 2497 0 0.000000 2497 1 0 2 0 2 1 2 7 7 2 2 2 676.0 3 4 2 266.0 0 0 0.000000 0.000000 0 8 6
917 2378 20 3 78 13101.000000 1 3 3 0 4 0 14 7 3 0 2 6 6 1968 1968 1 0 7 8 3 4 1 3 3 3 5 0 5 0 912 912.0 0 0 1 3 1152 0 0.000000 1152 1 0 1 1 3 1 3 7 7 0 2 2 412.0 3 4 2 0.0 126 0 0.000000 0.000000 0 1 6
918 2379 60 3 80 5400.000000 1 3 3 0 4 0 14 4 3 0 4 6 6 1970 1970 1 0 10 12 3 4 1 3 3 3 4 915 5 0 93 1008.0 0 4 1 3 1403 1008 0.000000 2411 1 0 2 1 4 1 3 8 7 1 2 2 570.0 3 4 2 0.0 192 0 0.000000 0.000000 0 8 6
919 2380 85 3 68 1542.000000 1 0 3 0 4 0 14 5 3 0 5 6 6 1969 1969 1 0 6 6 3 4 2 2 3 0 1 973 5 0 0 973.0 0 0 1 3 1082 0 0.000000 1082 1 0 1 0 3 1 3 6 7 0 2 2 480.0 3 4 2 160.0 0 0 0.000000 0.000000 0 8 6
920 2381 20 3 130 13478.000000 1 3 3 0 0 0 14 3 3 0 2 6 5 1968 1968 1 0 6 6 3 4 2 2 3 3 0 910 5 0 385 1295.0 0 1 1 3 1295 0 0.000000 1295 1 0 1 1 3 1 3 6 7 0 2 2 528.0 3 4 2 0.0 194 0 0.000000 153.453113 0 8 6
921 2382 20 3 108 13188.000000 1 0 3 0 0 0 14 3 3 0 2 7 7 1972 1987 3 0 11 13 3 4 1 3 3 3 1 346 5 0 778 1124.0 0 4 1 3 1610 0 0.000000 1610 0 0 2 0 3 1 2 8 7 1 2 2 515.0 3 4 2 202.0 0 0 0.000000 153.453113 0 8 6
924 2385 20 3 88 7001.000000 1 0 3 0 0 0 14 3 3 0 2 6 7 1966 1966 3 0 6 6 3 4 1 3 3 3 0 792 5 0 301 1093.0 0 2 1 3 1093 0 0.000000 1093 1 0 2 0 3 1 3 6 7 1 2 2 484.0 3 4 2 224.0 0 0 0.000000 0.000000 0 8 6
925 2386 20 3 80 7409.000000 1 3 3 0 4 0 14 3 3 0 2 6 5 1963 1963 1 0 6 6 3 4 1 3 3 3 1 617 4 264 171 1052.0 0 4 1 3 1052 0 0.000000 1052 1 0 1 0 3 1 3 6 7 0 2 1 311.0 3 4 2 0.0 133 0 0.000000 0.000000 0 0 6
926 2387 20 3 70 10022.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1967 1993 1 0 7 8 3 4 1 3 3 3 0 474 1 38 437 949.0 0 4 1 3 1107 0 0.000000 1107 1 0 1 0 3 1 2 5 7 0 2 1 308.0 3 4 2 88.0 64 0 0.000000 0.000000 0 8 6
927 2388 90 3 68 14469.000000 1 0 3 0 4 0 12 3 3 2 2 4 5 1964 1964 1 0 6 6 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 0 3 1224 0 0.000000 1224 0 0 2 0 2 2 3 8 7 0 5 3 530.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
928 2389 20 3 74 14642.000000 1 0 3 0 4 0 12 3 3 0 2 5 5 1956 1956 3 0 11 13 3 4 1 3 3 3 4 438 3 206 250 894.0 0 2 1 3 1074 0 0.000000 1074 0 0 1 0 2 1 2 6 0 1 6 2 396.0 3 4 2 0.0 72 0 0.000000 0.000000 0 8 6
929 2390 20 3 68 9971.000000 1 0 3 0 1 0 12 3 3 0 2 5 5 1961 1961 3 0 11 13 3 4 1 3 3 3 0 311 3 167 386 864.0 0 4 1 3 1187 0 0.000000 1187 1 0 1 0 2 1 3 6 7 1 2 2 440.0 3 4 2 128.0 0 0 0.000000 0.000000 0 1 6
930 2391 20 3 76 8050.000000 1 0 3 0 1 0 12 3 3 0 2 5 7 1961 1961 1 0 10 12 3 2 1 3 3 3 0 700 5 0 264 964.0 0 0 1 3 964 0 0.000000 964 0 0 1 0 3 1 3 5 7 1 6 2 784.0 3 4 2 170.0 0 0 0.000000 0.000000 0 8 6
931 2392 20 3 70 3293.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1960 1960 3 0 5 5 3 4 1 3 3 3 5 0 5 0 894 894.0 0 4 1 3 894 0 0.000000 894 0 0 1 0 3 1 3 5 7 0 6 1 312.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
932 2393 20 3 80 5778.000000 1 3 3 0 4 0 12 3 3 0 2 7 6 1966 1966 3 0 6 9 3 4 1 3 3 3 1 654 5 0 520 1174.0 0 0 1 3 1200 0 0.000000 1200 0 1 2 0 3 1 3 6 7 1 2 2 440.0 3 4 2 0.0 0 0 0.000000 0.000000 0 1 6
934 2395 60 3 80 6393.000000 1 3 3 0 4 0 12 3 3 0 4 6 7 1964 1997 1 0 7 8 3 2 1 3 3 3 0 414 5 0 431 845.0 0 0 1 3 845 1309 0.000000 2154 0 0 2 1 5 1 3 8 7 1 2 2 539.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
935 2396 20 3 68 10654.000000 1 0 3 0 4 0 12 3 3 0 2 6 5 1964 1964 1 0 11 9 3 4 1 3 3 3 0 54 4 430 533 1130.0 0 4 1 3 1374 0 0.000000 1374 0 1 1 0 3 1 3 7 7 1 2 1 286.0 3 4 2 0.0 28 66 0.000000 0.000000 0 8 6
936 2397 20 3 68 4956.000000 1 3 3 0 0 0 12 3 3 0 2 6 7 1959 1991 1 0 7 8 3 2 1 3 3 2 0 1386 5 0 206 1592.0 0 2 1 3 1652 0 0.000000 1652 1 0 1 1 3 1 2 6 7 1 2 2 510.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
937 2398 45 3 85 9209.000000 1 3 3 0 4 0 12 3 3 0 1 5 7 1940 1996 1 0 11 6 3 4 2 3 3 3 3 130 4 259 433 822.0 0 4 1 3 908 0 0.000000 908 0 0 1 0 2 1 3 4 7 0 2 2 512.0 3 4 2 284.0 24 0 0.000000 153.453113 0 8 6
938 2399 20 3 50 4970.000000 1 3 3 0 4 0 3 3 3 0 2 3 3 1946 1950 1 0 12 14 1 1 1 1 0 3 3 299 5 0 367 666.0 0 1 0 3 666 0 0.000000 666 0 1 1 0 2 1 2 4 7 0 5 0 0.0 2 0 0 0.0 52 0 0.000000 0.000000 0 8 6
939 2400 50 3 51 10451.000000 1 3 3 0 4 0 3 1 3 0 0 3 5 1945 1950 1 0 7 8 3 4 1 3 3 3 3 144 5 0 226 370.0 0 4 0 0 442 228 0.000000 670 1 0 1 0 2 1 1 4 7 0 5 0 0.0 2 0 0 0.0 21 0 0.000000 0.000000 0 8 6
940 2401 20 3 50 10261.000000 1 3 3 0 4 0 3 7 1 0 2 5 8 1958 2000 1 0 10 12 3 4 1 3 3 3 1 150 0 404 254 808.0 0 0 1 3 808 0 0.000000 808 0 0 1 0 2 1 3 5 7 0 6 1 308.0 3 4 0 143.0 0 0 0.000000 0.000000 0 0 6
941 2402 20 3 80 2948.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1955 1955 3 0 6 6 3 2 1 3 3 3 1 368 5 0 710 1078.0 0 0 1 3 1150 0 0.000000 1150 1 0 1 0 2 1 3 6 7 0 2 1 288.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
942 2403 90 3 63 7611.000000 1 3 3 0 0 0 12 3 3 2 2 5 5 1968 1968 1 0 7 8 3 4 1 3 3 3 5 0 5 0 1560 1560.0 0 4 1 3 1560 0 0.000000 1560 0 0 2 0 4 2 3 8 7 0 6 3 792.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
943 2404 85 3 68 16306.000000 1 0 3 0 4 0 12 3 3 0 5 5 6 1966 1966 1 0 6 6 3 4 1 3 3 0 2 602 5 0 191 793.0 0 0 1 3 1280 0 0.000000 1280 0 1 2 0 3 1 3 6 7 1 3 2 432.0 3 4 2 140.0 40 0 0.000000 0.000000 0 8 6
944 2405 80 3 100 4277.000000 1 0 3 0 4 0 12 3 3 0 6 6 5 1961 1961 3 0 12 14 3 4 1 3 3 0 0 600 5 0 618 1218.0 0 4 1 3 1254 0 0.000000 1254 1 0 1 0 3 1 3 6 7 1 2 2 525.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
945 2406 20 3 73 13635.000000 1 3 3 0 4 0 12 3 3 0 2 6 7 1957 1999 1 0 10 12 3 4 1 3 3 3 0 873 5 0 63 936.0 0 4 1 3 936 0 0.000000 936 1 0 1 0 2 1 2 4 7 0 2 1 315.0 3 4 2 0.0 0 0 37.972624 0.000000 0 8 6
947 2408 20 3 60 7871.000000 1 3 3 0 0 0 12 3 3 0 2 5 7 1963 1963 1 0 7 8 3 4 1 3 3 3 0 288 5 0 765 1053.0 0 2 1 3 1053 0 0.000000 1053 1 0 1 0 3 1 2 6 7 0 0 2 692.0 3 4 2 240.0 0 0 0.000000 109.000000 0 8 6
948 2409 20 3 70 15241.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1960 1960 3 0 6 6 3 4 1 3 3 3 5 0 5 0 1144 1144.0 0 4 1 3 1144 0 0.000000 1144 0 0 1 0 3 1 3 6 7 1 2 1 336.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
949 2410 20 3 80 16552.000000 1 3 3 0 4 0 12 1 3 0 2 6 6 1957 1969 1 0 11 13 3 4 1 3 3 3 1 668 4 138 525 1331.0 0 2 1 3 1721 0 0.000000 1721 0 0 1 0 4 1 3 8 7 3 2 2 464.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
950 2411 20 3 72 20111.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1957 1957 1 0 11 13 3 4 1 3 3 3 4 512 5 0 410 922.0 0 4 1 0 922 0 0.000000 922 1 0 1 0 2 1 3 5 7 0 2 1 308.0 3 4 2 0.0 34 0 0.000000 0.000000 0 8 6
951 2412 20 3 70 -2015.000000 1 0 3 0 4 0 12 3 3 0 2 5 6 1955 1975 1 0 10 12 3 4 1 3 3 0 4 780 5 0 424 1204.0 0 4 1 3 1411 0 0.000000 1411 0 0 1 0 3 1 3 7 7 1 2 1 310.0 3 4 2 278.0 82 0 0.000000 0.000000 0 0 6
952 2413 20 3 75 7550.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1955 1955 3 0 7 8 3 4 1 3 3 3 4 288 5 0 928 1216.0 0 4 1 3 1216 0 0.000000 1216 1 0 1 0 3 1 3 5 7 0 2 1 336.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
953 2414 20 3 60 16205.000000 1 3 3 0 4 0 12 3 3 0 2 5 9 1953 2006 1 0 10 8 3 0 1 3 3 3 1 408 5 0 456 864.0 0 2 1 3 1154 0 0.000000 1154 0 0 1 1 3 1 0 6 7 0 6 1 336.0 3 4 2 63.0 0 0 0.000000 0.000000 0 8 6
954 2415 90 3 70 19813.000000 1 3 3 0 4 0 12 3 3 2 2 5 5 1958 1958 3 0 11 13 3 4 1 3 3 3 5 0 5 0 1560 1560.0 0 4 1 3 1560 0 0.000000 1560 0 0 2 0 4 2 3 8 7 0 6 2 484.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
955 2416 20 3 60 7280.000000 1 3 3 0 4 0 12 3 3 0 2 6 6 1952 1952 3 0 11 13 3 4 1 3 3 3 0 441 5 0 507 948.0 0 4 1 3 948 0 0.000000 948 0 0 1 0 2 1 3 5 7 0 6 2 410.0 3 4 0 0.0 48 0 0.000000 0.000000 0 8 6
956 2417 20 3 68 5265.000000 1 3 3 0 4 0 12 3 3 0 2 6 7 1953 1953 3 0 11 13 3 4 1 3 3 3 4 85 0 430 0 1040.0 0 4 1 1 1040 0 0.000000 1040 0 1 1 0 3 1 3 6 7 0 2 1 293.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
957 2418 20 3 71 9775.000000 1 3 3 0 0 0 12 3 3 0 2 5 8 1956 2003 1 0 10 12 3 2 1 3 3 3 4 114 0 430 120 925.0 0 4 1 3 925 0 0.000000 925 1 0 1 0 3 1 2 5 7 0 6 1 252.0 3 4 2 152.0 0 0 0.000000 0.000000 0 8 6
959 2420 20 3 70 5434.000000 1 3 3 0 0 0 12 3 3 0 2 5 5 1955 1955 1 0 7 8 3 2 1 3 3 3 1 793 5 0 130 923.0 0 4 1 3 925 0 0.000000 925 1 0 1 0 3 1 3 5 7 2 2 1 390.0 3 4 2 81.0 0 0 0.000000 0.000000 0 8 6
960 2421 20 3 75 5069.000000 1 3 3 0 4 0 12 3 3 0 2 4 6 1953 1953 1 0 10 12 3 4 1 3 3 3 1 595 4 354 156 1105.0 0 2 1 3 1647 0 0.000000 1647 1 0 1 0 3 1 3 6 0 1 2 1 280.0 3 4 2 225.0 0 0 0.000000 0.000000 368 8 6
961 2422 20 3 68 15018.000000 1 3 3 0 4 0 17 0 3 0 2 5 5 1952 1952 1 0 11 13 3 4 1 3 3 3 4 292 5 0 632 924.0 0 4 1 3 924 0 0.000000 924 0 0 1 0 2 1 3 6 7 0 6 1 420.0 3 4 2 0.0 311 0 0.000000 0.000000 0 8 6
962 2423 50 3 60 13697.000000 1 3 3 0 4 0 17 0 3 0 0 4 7 1890 2006 1 0 10 12 2 2 1 1 3 3 5 0 5 0 925 925.0 0 2 1 3 1000 544 0.000000 1544 0 0 2 0 3 1 3 7 7 0 5 0 0.0 2 0 0 231.0 0 0 0.000000 0.000000 0 8 6
963 2424 50 3 68 62.000000 1 0 3 0 4 0 12 3 3 0 0 5 6 1953 2004 1 0 7 8 3 4 1 3 0 3 3 198 5 0 1018 1216.0 0 0 1 3 1216 0 62.304757 1728 1 0 1 0 3 1 3 7 7 1 2 1 371.0 3 4 2 200.0 0 0 0.000000 0.000000 0 8 6
964 2425 70 3 113 12696.000000 1 3 3 0 4 0 12 3 3 0 4 5 4 1935 2007 1 0 11 8 3 4 0 3 0 3 5 0 5 0 666 666.0 0 2 1 3 1308 1703 0.000000 3086 0 0 3 1 4 1 2 9 0 0 4 3 1200.0 3 4 2 0.0 208 66 0.000000 153.453113 0 8 4
965 2426 50 3 60 8094.000000 1 3 3 0 0 0 17 3 3 0 0 4 7 1925 1993 1 0 7 8 3 4 1 3 3 2 0 1030 3 66 55 1151.0 0 0 1 3 845 436 0.000000 1281 1 0 2 0 1 1 3 6 5 0 6 2 580.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 1
966 2427 70 3 60 8857.000000 1 3 3 0 4 0 17 3 3 0 4 5 9 1895 1999 1 0 11 6 3 2 1 2 3 0 5 0 5 0 736 736.0 0 0 1 3 751 783 0.000000 1534 0 0 1 1 3 1 2 6 7 0 5 0 0.0 2 0 0 0.0 112 0 0.000000 0.000000 0 8 6
967 2428 80 3 93 6373.000000 1 0 3 0 4 0 12 3 3 0 6 7 5 1963 1999 1 0 8 9 3 4 1 3 3 0 4 242 0 430 0 725.0 0 4 1 3 1035 616 0.000000 1651 0 1 2 0 4 1 3 6 7 2 4 1 276.0 3 4 2 460.0 46 0 0.000000 153.453113 0 8 6
968 2429 20 3 75 17436.000000 1 0 3 0 4 0 12 3 3 0 2 5 7 1961 1961 1 0 6 6 3 4 1 3 3 3 0 192 5 0 728 920.0 0 2 1 3 888 0 0.000000 888 0 1 1 0 3 1 3 5 7 0 2 1 240.0 3 4 2 0.0 0 0 0.000000 0.000000 0 0 1
970 2431 20 3 60 6640.000000 1 3 3 0 4 0 12 3 3 0 2 5 3 1950 1950 1 0 12 14 3 4 1 3 3 3 3 432 5 0 432 864.0 0 1 1 0 1238 0 0.000000 1238 0 0 1 1 3 1 3 6 1 1 2 1 357.0 3 4 2 0.0 171 0 0.000000 0.000000 0 8 6
971 2432 20 3 68 4592.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1959 2003 3 0 3 3 3 4 1 3 3 3 2 574 5 0 466 1040.0 0 0 1 3 1040 0 0.000000 1040 1 0 1 0 3 1 2 6 7 0 2 1 286.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
972 2433 20 3 70 7975.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1958 1958 3 0 3 3 3 4 1 3 3 3 4 625 5 0 545 1170.0 0 4 1 3 1170 0 0.000000 1170 0 1 1 0 3 1 3 6 7 1 2 1 338.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
973 2434 20 3 70 16111.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1960 1960 3 0 3 3 3 4 1 3 3 3 4 739 5 0 503 1242.0 0 2 1 0 1242 0 0.000000 1242 1 0 1 1 3 1 3 6 7 0 2 1 324.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 4
974 2435 20 3 80 5806.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1960 1960 3 0 3 3 3 4 1 3 3 3 1 1098 4 154 125 1377.0 0 4 1 3 1377 0 0.000000 1377 1 0 1 0 3 1 3 6 7 2 2 1 351.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
975 2436 20 3 70 831.000000 1 3 3 0 0 0 12 1 3 0 2 5 6 1961 1961 1 0 3 13 3 4 4 1 2 2 3 0 2 0 0 0.0 0 2 1 3 925 0 0.000000 925 0 0 1 0 3 1 3 7 7 0 2 1 300.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
976 2437 20 3 60 9409.000000 1 3 3 0 4 0 12 5 3 0 2 5 5 1962 1962 3 0 11 13 3 4 1 3 3 3 0 110 1 430 312 864.0 0 2 1 3 864 0 0.000000 864 0 0 1 0 2 1 3 5 7 0 6 1 294.0 3 4 2 58.0 0 0 0.000000 0.000000 0 8 6
977 2438 85 3 66 15607.000000 1 3 3 0 4 0 12 3 3 0 5 5 5 1962 1962 1 0 6 6 3 4 1 3 3 0 0 734 5 0 162 896.0 0 4 1 3 936 0 0.000000 936 1 0 1 0 3 1 3 6 7 1 2 1 288.0 3 4 2 24.0 90 66 0.000000 0.000000 0 8 6
978 2439 30 4 60 11343.000000 1 3 0 0 4 0 17 0 2 0 2 5 7 1926 1980 1 0 7 8 2 2 0 3 3 3 5 0 5 0 850 850.0 0 4 1 3 960 0 0.000000 960 0 0 1 0 2 1 3 5 7 0 6 2 576.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
979 2440 50 4 50 13955.000000 1 3 3 0 4 0 17 2 2 0 0 6 6 1927 1950 1 0 7 8 3 4 0 3 3 3 4 276 5 0 569 845.0 0 4 1 3 866 430 0.000000 1296 0 0 1 0 3 1 3 6 7 0 6 2 576.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
980 2441 30 4 56 5014.000000 1 3 3 0 0 0 17 0 2 0 2 5 5 1922 1950 1 0 0 0 3 4 2 1 0 3 3 782 5 0 240 1022.0 0 4 0 1 1022 0 0.000000 1022 1 0 1 0 2 1 1 4 7 1 6 1 184.0 3 1 0 0.0 122 20 0.000000 0.000000 0 8 5
981 2442 30 4 56 9577.000000 1 3 3 0 4 0 17 2 2 0 2 5 6 1920 1990 1 0 7 8 3 4 0 3 3 3 5 0 5 0 967 967.0 0 2 1 3 967 0 0.000000 967 0 0 1 0 2 1 3 5 7 1 6 1 180.0 0 4 0 0.0 0 26 0.000000 0.000000 0 8 5
982 2443 30 4 60 21121.000000 1 3 3 0 4 0 17 2 2 0 2 5 8 1940 1950 1 0 10 12 3 4 1 3 3 3 5 0 5 0 808 808.0 0 0 1 3 1072 0 0.000000 1072 0 0 1 0 2 1 3 5 7 2 6 2 379.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
983 2444 50 4 120 9658.000000 1 3 3 0 0 0 17 2 2 0 0 5 8 1900 2006 1 0 9 11 3 4 0 3 0 3 1 130 5 0 550 680.0 0 0 1 3 680 494 0.000000 1174 0 0 1 0 2 1 2 6 7 1 6 2 576.0 3 4 2 116.0 26 40 0.000000 0.000000 0 8 5
984 2445 50 4 50 8479.000000 1 3 3 0 4 0 17 2 2 0 0 4 6 1900 1950 1 0 7 8 3 4 0 1 3 3 3 122 4 430 0 570.0 0 2 0 3 761 380 0.000000 1141 0 0 1 0 3 1 3 6 7 0 6 1 252.0 0 1 2 0.0 0 66 0.000000 0.000000 0 5 5
985 2446 70 4 57 11086.000000 1 3 3 0 4 0 17 0 2 0 4 4 8 1900 1950 1 0 7 8 3 4 2 3 3 3 5 0 5 0 1075 1075.0 0 0 1 3 1156 642 0.000000 1798 0 0 2 1 4 1 3 7 7 0 6 2 342.0 3 4 0 0.0 0 66 0.000000 0.000000 0 8 5
986 2447 70 4 68 9128.000000 1 0 3 0 4 0 17 2 2 0 4 8 9 1910 1999 3 0 10 12 2 2 0 3 3 3 5 0 5 0 725 725.0 0 0 0 3 909 863 0.000000 1772 0 0 2 1 3 1 2 7 7 0 6 2 816.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
987 2448 70 4 53 13362.000000 1 3 3 0 4 0 17 2 2 0 4 6 6 1927 1950 2 0 11 13 3 4 0 3 3 3 3 196 4 210 322 728.0 0 4 1 3 914 728 0.000000 1642 0 1 1 1 4 1 3 9 7 1 6 1 374.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 0
988 2449 70 4 35 9751.000000 1 3 3 0 4 0 17 2 2 0 4 5 7 1910 1950 1 0 7 8 3 4 0 3 3 3 1 168 5 0 448 616.0 0 0 1 3 616 616 0.000000 1232 0 0 1 0 3 1 3 6 7 0 6 2 480.0 0 1 2 280.0 0 66 0.000000 0.000000 0 8 5
989 2450 50 4 56 16720.000000 1 3 3 0 4 0 17 2 2 0 0 6 8 1910 1990 1 0 11 13 3 4 1 2 1 3 1 259 5 0 667 926.0 0 4 1 3 991 659 0.000000 1650 0 0 2 0 3 1 3 6 7 0 6 2 468.0 3 4 0 128.0 103 0 0.000000 0.000000 0 8 5
990 2451 70 4 60 12917.000000 1 3 3 0 4 0 17 2 2 0 4 5 7 1930 2005 2 0 10 12 3 2 0 3 0 3 4 316 5 0 371 687.0 0 2 1 3 687 671 0.000000 1358 0 0 1 1 3 1 2 6 7 1 6 1 336.0 3 4 2 0.0 32 0 0.000000 0.000000 0 8 7
991 2452 75 4 75 12829.000000 1 3 3 0 0 0 17 2 2 0 3 7 8 1879 1987 1 0 11 13 3 2 2 3 3 3 5 0 5 0 819 819.0 0 4 1 0 1312 1142 0.000000 2454 0 0 2 0 3 1 3 8 7 1 2 2 576.0 3 4 0 0.0 148 66 0.000000 0.000000 0 8 5
992 2453 20 4 52 1621.000000 1 3 3 0 4 0 17 2 2 0 2 4 6 1956 1956 1 0 7 8 3 4 1 1 2 2 3 0 2 0 0 0.0 0 2 1 3 968 0 0.000000 968 0 0 1 0 2 1 3 5 7 0 2 1 331.0 0 4 2 0.0 0 0 0.000000 0.000000 0 8 5
993 2454 80 4 76 9884.000000 1 3 3 0 4 0 17 2 2 0 6 4 7 1949 2002 1 0 9 13 3 4 4 1 2 2 3 0 2 0 0 0.0 0 0 1 3 1382 0 0.000000 1382 0 0 2 0 1 1 3 6 5 1 2 1 384.0 3 4 2 0.0 40 0 0.000000 0.000000 0 8 5
994 2455 40 3 55 13139.000000 1 3 0 0 4 1 3 3 3 0 2 5 7 1925 1994 1 0 7 8 3 2 2 3 3 3 3 317 4 227 212 756.0 0 4 0 0 916 144 0.000000 1060 1 0 1 0 1 1 3 6 2 1 6 1 308.0 0 4 2 0.0 65 0 0.000000 150.000000 0 8 6
995 2456 50 4 55 14772.000000 1 3 1 0 4 0 3 9 0 0 0 5 6 1950 1950 1 0 7 8 3 4 1 1 3 3 4 910 5 0 0 910.0 0 4 1 3 910 525 0.000000 1435 1 0 1 0 3 1 3 6 7 0 6 1 308.0 3 4 2 0.0 33 0 0.000000 0.000000 0 8 5
996 2457 50 4 50 8416.000000 1 3 3 0 4 0 3 2 2 0 0 5 7 1939 1998 1 0 7 8 3 2 1 3 3 3 4 306 5 0 422 728.0 0 0 1 3 728 546 0.000000 1274 0 0 2 0 3 1 3 6 7 0 6 1 224.0 0 4 2 0.0 0 66 0.000000 0.000000 0 1 5
997 2458 70 4 50 10491.000000 1 3 3 0 4 0 3 2 2 0 4 6 6 1939 1950 1 0 7 12 3 4 1 3 3 2 4 276 5 0 324 600.0 0 0 1 3 608 624 0.000000 1232 0 0 1 1 3 1 3 6 7 2 2 1 217.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
998 2459 45 4 51 7461.000000 1 3 3 0 4 0 3 2 2 0 1 5 7 1939 1950 1 0 0 0 2 4 0 3 3 3 5 0 5 0 884 884.0 0 0 1 3 884 0 0.000000 884 0 0 1 0 2 1 3 5 7 0 6 1 240.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
999 2460 50 4 68 7829.000000 1 3 3 0 4 0 3 2 2 0 0 6 5 1938 1950 1 0 10 12 3 4 0 3 3 3 3 52 5 0 809 861.0 0 2 1 3 861 548 0.000000 1409 1 0 1 1 3 1 3 6 7 1 6 2 528.0 3 4 2 225.0 0 66 0.000000 0.000000 0 8 5
1000 2461 50 4 52 14230.000000 1 3 3 0 4 0 3 2 2 0 0 5 8 1939 1952 1 0 11 13 3 2 0 3 3 3 4 48 5 0 624 672.0 0 0 1 3 899 423 0.000000 1322 1 0 1 0 4 1 3 7 7 0 6 1 280.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
1001 2462 50 4 52 2809.000000 1 3 3 0 4 0 3 2 2 0 0 5 7 1930 1992 1 0 11 13 3 4 0 3 3 3 5 0 5 0 966 966.0 0 0 1 3 1014 412 0.000000 1426 0 0 1 0 3 1 3 6 7 1 6 1 230.0 0 4 2 174.0 0 66 0.000000 0.000000 0 8 5
1002 2463 50 4 51 14119.000000 1 3 3 0 4 0 3 2 2 0 0 5 6 1926 1950 1 0 11 13 3 4 0 3 3 3 0 351 5 0 405 756.0 0 2 1 0 903 378 0.000000 1281 1 0 1 0 2 1 2 6 7 0 6 2 379.0 3 4 2 25.0 0 0 0.000000 0.000000 0 8 5
1003 2464 70 4 47 21946.000000 1 3 3 0 4 0 17 2 2 0 4 6 8 1918 1995 1 0 11 13 3 2 1 3 3 3 5 0 5 0 1100 1100.0 0 0 1 0 1100 1164 0.000000 2264 0 0 2 1 4 1 3 8 7 0 6 1 408.0 3 4 2 0.0 152 0 0.000000 0.000000 0 8 5
1004 2465 50 3 60 7194.000000 1 3 0 0 4 0 3 3 3 0 0 6 7 1920 1950 1 0 11 14 3 2 2 3 3 3 5 0 5 0 768 768.0 0 0 1 3 752 624 0.000000 1376 0 0 1 0 3 1 2 7 7 0 6 2 576.0 3 4 1 0.0 54 66 0.000000 0.000000 0 8 6
1005 2466 50 3 60 7160.000000 1 3 3 0 4 0 3 7 3 0 0 5 5 1926 1950 1 0 6 6 3 4 2 1 3 3 5 0 5 0 750 750.0 0 4 1 3 960 356 0.000000 1316 0 0 1 0 4 1 3 7 7 0 6 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 5 4
1006 2467 70 4 68 18146.000000 1 0 3 0 0 0 17 1 2 0 4 7 6 1929 1990 1 0 11 14 3 4 0 3 3 3 4 336 5 0 336 672.0 0 2 0 0 672 672 0.000000 1344 1 0 1 1 3 1 2 6 7 1 2 2 456.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
1007 2468 45 4 40 17355.000000 1 3 3 0 4 0 17 2 2 0 0 5 4 1901 1950 1 0 0 0 3 4 1 3 3 3 5 0 5 0 592 592.0 0 4 0 0 933 240 0.000000 1173 0 0 2 0 3 1 3 7 7 0 6 1 240.0 3 1 2 0.0 25 66 0.000000 0.000000 0 8 2
1008 2469 50 4 40 6540.000000 1 3 3 0 4 0 17 2 2 0 0 5 3 1901 1950 1 0 0 0 3 4 1 3 3 3 5 0 5 0 969 969.0 0 4 0 0 969 245 0.000000 1214 0 0 1 0 2 1 3 6 7 0 6 1 216.0 3 4 0 0.0 0 66 0.000000 0.000000 0 8 2
1009 2470 80 4 120 9000.000000 1 3 3 0 0 0 9 2 2 0 6 6 6 1963 1963 1 0 6 6 3 4 1 3 3 3 1 375 5 0 366 741.0 0 1 1 3 1497 797 0.000000 2294 0 0 3 0 5 1 3 9 7 1 2 2 658.0 3 4 2 0.0 110 0 0.000000 0.000000 0 8 5
1010 2471 60 4 60 4055.000000 1 3 3 0 4 0 9 2 2 0 4 7 9 1950 2005 1 0 10 12 3 0 1 3 3 3 3 354 4 398 224 976.0 0 0 1 3 976 976 0.000000 1952 0 0 1 1 4 1 2 8 7 2 6 1 299.0 3 4 2 285.0 0 0 0.000000 153.453113 0 8 5
1011 2472 50 4 60 1100.000000 1 3 3 0 4 0 9 2 2 0 0 6 5 1915 1950 1 0 7 8 3 4 1 3 0 3 3 375 5 0 763 1138.0 0 2 1 3 1138 1042 0.000000 2180 0 0 1 1 3 1 3 7 7 1 6 2 720.0 3 4 0 0.0 0 66 0.000000 0.000000 0 8 5
1012 2473 190 4 52 4763.000000 1 3 3 0 4 0 9 2 2 1 0 4 6 1958 1958 1 0 7 8 3 4 0 1 3 3 4 681 0 127 0 808.0 0 4 1 3 838 477 0.000000 1315 1 0 2 0 3 1 3 5 7 0 6 2 436.0 3 4 2 0.0 0 0 0.000000 0.000000 0 0 0
1013 2474 50 4 60 15830.000000 1 3 3 0 0 0 9 0 2 0 0 4 1 1910 1950 1 0 11 13 1 1 1 3 0 3 5 0 5 0 771 771.0 0 1 1 3 866 504 62.304757 1484 0 0 2 0 3 1 3 6 2 0 6 1 264.0 3 1 0 14.0 211 0 0.000000 84.000000 0 0 0
1014 2475 70 3 107 16463.000000 1 3 0 0 4 0 19 1 3 0 4 7 8 1937 1980 1 0 11 13 3 2 1 3 3 3 0 288 5 0 717 1005.0 0 4 1 3 1262 1005 0.000000 2267 1 0 1 1 3 1 3 7 7 2 2 2 498.0 3 4 2 521.0 0 0 0.000000 0.000000 0 8 6
1015 2476 190 3 59 5627.000000 1 0 3 0 0 0 18 3 3 1 0 5 6 1942 1979 1 0 8 9 3 4 1 3 3 3 0 485 5 0 187 672.0 0 4 0 3 778 504 0.000000 1282 1 0 1 0 2 1 3 4 7 0 6 1 240.0 3 4 2 0.0 88 0 0.000000 0.000000 0 8 6
1016 2477 190 3 75 3319.000000 1 3 3 0 4 0 19 3 3 1 5 5 5 1963 1963 1 0 6 6 3 4 1 2 3 0 0 925 5 0 0 925.0 0 4 1 3 999 0 0.000000 999 1 0 1 0 3 1 3 6 7 0 6 1 308.0 3 4 2 40.0 176 0 0.000000 0.000000 0 8 6
1017 2478 85 3 75 89.000000 1 3 3 0 4 0 19 3 3 0 5 5 5 1964 1980 1 0 6 6 3 4 1 2 3 0 1 785 5 0 635 1420.0 0 2 1 3 1452 0 0.000000 1452 1 0 1 0 2 1 3 6 1 1 6 2 572.0 3 4 2 92.0 0 66 0.000000 0.000000 0 8 6
1018 2479 20 3 62 10242.000000 1 3 3 0 4 0 19 1 3 0 2 4 3 1964 1964 1 0 6 6 3 4 1 3 3 3 4 513 3 144 348 1005.0 0 4 1 3 1005 0 0.000000 1005 1 0 1 0 3 1 3 5 7 0 6 2 440.0 3 4 0 0.0 0 0 0.000000 0.000000 0 8 6
1019 2480 80 3 65 5052.000000 1 0 3 0 4 0 19 3 3 0 6 5 8 1964 2001 3 0 6 6 2 2 1 3 3 1 3 68 1 430 190 980.0 0 4 1 3 1020 0 0.000000 1020 0 1 2 0 3 1 3 5 7 1 6 2 528.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1020 2481 20 3 68 10877.000000 1 0 3 0 4 0 19 3 3 0 2 5 4 1966 1966 1 0 6 6 3 4 1 3 3 0 4 249 1 430 30 1040.0 0 4 1 3 1040 0 0.000000 1040 1 0 1 0 3 1 3 6 7 0 2 1 264.0 3 4 2 0.0 90 0 0.000000 0.000000 0 8 6
1021 2482 190 3 70 6823.000000 1 3 3 0 3 0 19 1 3 1 2 5 6 1971 1990 1 0 6 6 3 4 1 2 3 0 2 748 5 0 20 768.0 0 2 1 3 868 0 0.000000 868 1 0 1 0 2 1 3 6 7 0 6 2 576.0 3 4 2 138.0 0 0 0.000000 0.000000 0 8 6
1022 2483 20 3 86 6039.000000 1 0 3 0 4 0 19 3 3 0 2 5 5 1968 1968 1 0 6 6 3 4 1 3 3 2 4 168 1 288 420 876.0 0 4 1 3 897 0 0.000000 897 0 0 1 0 3 1 3 5 7 0 2 1 264.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1023 2484 20 3 68 11948.000000 1 0 3 0 4 0 19 3 3 0 2 5 5 1967 1967 1 0 7 8 3 2 1 3 3 3 3 114 1 430 300 943.0 0 4 1 3 943 0 0.000000 943 1 0 1 0 2 1 3 5 7 0 6 2 528.0 3 4 2 132.0 0 0 0.000000 0.000000 0 8 6
1024 2485 20 3 68 9849.000000 1 3 3 0 0 0 19 1 3 0 2 5 7 1966 1966 1 0 8 9 3 2 1 3 3 3 4 216 0 430 261 912.0 0 0 1 3 912 0 0.000000 912 1 0 1 0 3 1 2 6 7 0 6 1 315.0 3 4 2 204.0 0 0 0.000000 0.000000 0 8 6
1025 2486 20 3 81 7969.000000 1 3 0 0 4 1 19 4 3 0 2 5 5 1956 1998 3 0 3 3 3 4 1 3 3 3 4 386 0 430 332 1240.0 0 2 1 3 1375 0 0.000000 1375 1 0 1 0 3 1 3 6 7 1 2 1 323.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1026 2487 60 3 99 15492.000000 1 3 3 0 4 0 19 1 3 0 4 5 4 1920 1996 1 0 11 13 3 1 1 2 3 3 1 267 5 0 404 671.0 0 1 1 3 1567 1087 0.000000 2654 0 0 3 0 4 1 3 11 5 1 2 2 638.0 3 4 2 128.0 311 0 0.000000 0.000000 0 8 6
1027 2488 50 3 70 13655.000000 1 3 3 0 4 0 19 3 3 0 0 7 8 1940 1998 1 0 11 13 3 4 0 3 3 3 0 258 5 0 422 680.0 0 0 1 0 798 504 0.000000 1302 0 0 1 1 2 1 2 6 7 2 2 1 224.0 3 4 2 0.0 0 0 0.000000 126.000000 0 8 6
1028 2489 20 3 91 3646.000000 1 3 3 0 4 0 19 3 3 0 2 6 5 1954 1995 1 0 10 12 3 4 1 3 3 3 4 736 5 0 231 967.0 0 4 1 3 1299 0 0.000000 1299 0 0 1 0 3 1 2 6 7 1 2 2 494.0 3 4 2 81.0 0 66 0.000000 0.000000 0 8 6
1029 2490 20 3 85 12501.000000 1 3 3 0 0 0 19 1 3 0 2 5 6 1958 1998 1 0 8 9 3 4 1 3 3 2 4 190 1 430 95 1158.0 0 4 1 3 1176 0 0.000000 1176 1 0 1 0 3 1 3 6 7 2 2 1 303.0 3 4 2 0.0 0 0 0.000000 0.000000 0 2 6
1030 2491 20 3 68 7450.000000 1 3 3 0 4 0 19 3 3 0 2 4 7 1945 1950 1 0 11 13 1 4 4 1 2 2 3 0 2 0 0 0.0 0 4 0 0 998 0 0.000000 998 0 0 1 0 3 1 3 5 1 0 1 2 460.0 0 4 2 0.0 0 66 0.000000 0.000000 0 8 6
1031 2492 20 3 68 14159.000000 1 3 3 0 0 0 4 3 3 0 2 6 5 1984 1984 3 0 11 13 3 4 2 2 3 3 1 299 3 430 0 1190.0 0 0 1 3 1522 0 0.000000 1522 0 0 2 0 3 1 3 7 7 1 2 2 552.0 3 4 2 0.0 77 0 0.000000 153.453113 0 8 6
1032 2493 20 3 68 5111.000000 1 0 3 0 0 0 7 3 3 0 2 5 7 1948 2005 3 0 11 13 3 2 1 3 1 2 1 300 5 0 109 409.0 0 0 1 3 1325 0 0.000000 1325 0 0 2 0 3 1 2 6 7 1 6 2 576.0 3 4 2 0.0 42 0 0.000000 0.000000 0 8 6
1033 2494 20 3 68 9587.000000 1 0 3 0 4 0 7 3 3 0 2 5 5 1953 1953 1 0 7 8 3 4 1 3 3 3 4 587 5 0 486 1073.0 0 4 1 3 1630 0 0.000000 1630 0 0 2 0 3 1 3 6 5 1 6 2 649.0 3 4 1 0.0 64 0 0.000000 0.000000 0 0 6
1034 2495 20 3 84 8375.000000 1 3 3 0 4 0 7 1 3 0 2 4 5 1946 1950 1 0 11 13 3 4 1 3 3 3 5 0 5 0 484 484.0 0 4 0 3 1242 0 0.000000 1242 0 0 1 0 2 1 3 4 5 0 2 1 336.0 3 4 0 0.0 0 0 0.000000 0.000000 0 8 6
1035 2496 20 3 102 10791.000000 1 0 3 0 0 0 4 3 3 0 2 6 7 1954 1994 3 0 7 8 3 2 1 2 0 3 3 353 5 0 935 1288.0 0 0 1 3 2422 0 0.000000 2422 0 0 3 0 4 1 2 6 1 2 2 2 527.0 3 4 2 0.0 63 0 0.000000 144.000000 0 8 6
1037 2498 20 3 60 9610.000000 1 3 1 0 4 0 18 3 3 0 2 5 5 1958 1958 1 0 7 8 3 4 1 3 3 3 4 453 5 0 411 864.0 0 4 1 3 864 0 0.000000 864 0 1 1 0 3 1 3 6 7 0 2 1 399.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1038 2499 30 3 68 7459.000000 1 0 3 0 1 0 7 3 3 0 2 4 5 1958 1994 1 0 6 6 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 0 3 943 0 0.000000 943 0 0 1 0 3 1 2 5 1 0 6 1 308.0 3 4 0 0.0 0 60 0.000000 0.000000 0 8 6
1039 2500 120 3 39 9158.000000 1 3 3 0 4 1 7 3 3 4 2 5 6 1984 1984 1 0 11 13 2 0 1 3 3 3 3 283 2 430 0 1038.0 0 2 1 3 1038 0 0.000000 1038 0 0 2 0 2 1 3 5 7 0 2 1 264.0 3 4 2 0.0 105 0 0.000000 0.000000 0 8 6
1041 2502 50 3 60 19632.000000 1 3 3 0 4 0 7 3 3 0 0 5 6 1951 1994 1 0 11 13 3 4 2 3 3 2 3 1080 5 0 0 1080.0 0 4 0 3 1080 400 0.000000 1480 1 0 1 0 4 1 3 7 7 1 2 1 253.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
1042 2503 50 3 50 10568.000000 1 3 3 0 4 0 7 3 3 0 0 4 5 1920 1950 2 0 7 8 1 1 0 3 0 3 5 0 5 0 951 951.0 1 1 0 3 986 376 0.000000 1362 0 0 2 0 4 1 3 7 7 0 6 1 280.0 0 4 1 0.0 0 0 0.000000 0.000000 0 8 6
1043 2504 50 3 104 9986.000000 1 3 3 0 4 0 20 1 3 0 0 6 5 1984 1984 1 0 11 13 3 4 1 3 3 3 5 0 5 0 1105 1105.0 0 0 1 3 1105 717 0.000000 1822 0 0 2 0 4 1 2 7 1 1 2 2 515.0 3 4 1 0.0 195 66 0.000000 0.000000 444 8 6
1044 2505 60 3 75 10067.000000 1 3 3 0 4 0 20 3 3 0 4 7 5 1994 2001 1 0 10 12 2 2 2 2 1 3 2 497 5 0 282 779.0 0 0 1 3 1029 929 0.000000 1958 1 0 2 1 3 1 2 7 7 1 2 2 499.0 3 4 2 202.0 93 0 0.000000 0.000000 0 1 6
1045 2506 20 3 71 -3257.000000 1 3 3 0 4 0 5 3 3 0 2 8 5 2007 2007 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1643 1643.0 0 0 1 3 1651 0 0.000000 1651 0 0 2 0 3 1 2 7 7 1 2 3 870.0 3 4 2 204.0 64 0 0.000000 0.000000 0 6 7
1046 2507 20 3 93 4433.000000 1 0 3 0 4 0 5 3 3 0 2 8 5 2006 2007 3 0 5 5 2 4 2 2 3 0 5 0 5 0 1958 2140.0 0 0 1 3 2140 0 0.000000 2140 0 0 2 1 3 1 2 8 7 0 2 3 894.0 3 4 2 136.0 32 0 0.000000 0.000000 0 6 7
1047 2508 20 3 66 11772.000000 1 0 3 0 4 0 5 3 3 0 2 8 5 2007 2007 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1643 1643.0 0 0 1 3 1651 0 0.000000 1651 0 0 2 0 3 1 2 7 7 1 2 3 870.0 3 4 2 192.0 64 0 0.000000 0.000000 0 6 7
1052 2513 60 3 68 10242.000000 1 0 3 0 4 0 20 3 3 0 4 7 5 1988 1988 1 0 6 6 2 4 2 2 3 3 2 608 3 321 0 929.0 0 0 1 3 946 927 0.000000 1873 1 0 2 1 3 1 2 7 7 1 2 2 619.0 3 4 2 108.0 48 0 0.000000 144.000000 0 8 6
1053 2514 20 3 155 14823.000000 1 0 2 0 4 2 4 3 3 0 2 8 6 1976 1976 5 3 11 13 2 4 1 2 1 1 3 132 2 430 0 966.0 0 0 1 3 1743 0 0.000000 1743 2 0 0 1 0 1 2 5 7 2 2 2 529.0 3 4 2 646.0 0 0 0.000000 0.000000 0 8 6
1054 2515 20 3 68 9941.000000 1 1 3 0 1 0 5 3 3 0 2 5 5 1994 1994 1 0 10 12 3 4 2 2 3 3 0 550 5 0 472 1022.0 0 2 1 3 1022 0 0.000000 1022 0 1 1 0 3 1 3 6 7 0 6 2 747.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1055 2516 60 3 57 17422.000000 1 0 3 0 4 0 5 3 3 0 4 6 6 1997 2006 1 0 10 12 3 2 2 2 3 3 2 539 5 0 96 635.0 0 0 1 3 646 662 0.000000 1308 1 0 2 1 3 1 2 6 7 0 2 2 497.0 3 4 2 142.0 54 0 0.000000 0.000000 0 8 6
1056 2517 20 3 60 8855.000000 1 1 3 0 4 0 5 3 3 0 2 5 7 1994 1994 1 0 10 12 3 2 2 2 1 3 2 420 5 0 570 990.0 0 0 1 3 990 0 0.000000 990 1 0 1 0 3 1 3 5 7 0 6 1 384.0 3 4 2 256.0 0 0 0.000000 0.000000 0 8 6
1057 2518 20 3 70 13437.000000 1 1 2 0 4 1 5 3 3 0 2 5 5 1996 1996 1 0 10 12 3 4 2 2 3 3 0 549 5 0 548 1097.0 0 0 1 3 1097 0 0.000000 1097 1 0 1 1 3 1 3 6 7 0 2 1 242.0 3 4 2 306.0 0 0 0.000000 0.000000 0 8 6
1062 2523 20 3 97 12993.000000 1 0 0 0 4 0 5 3 3 0 2 5 5 1974 1974 1 0 6 6 3 4 1 2 3 0 1 663 5 0 201 864.0 0 4 1 3 894 0 0.000000 894 0 0 1 0 3 1 3 5 7 0 2 2 440.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 4
1063 2524 80 3 59 13998.000000 1 0 3 0 4 0 5 3 3 0 6 5 5 1976 1976 1 0 10 12 3 2 1 2 3 0 2 502 5 0 513 1015.0 0 4 1 3 1025 0 0.000000 1025 0 0 2 0 3 1 3 6 7 1 6 2 370.0 3 4 2 127.0 0 0 0.000000 0.000000 0 8 6
1064 2525 80 3 72 8709.000000 1 3 3 0 4 0 5 3 3 0 6 5 7 1977 1977 1 0 8 12 3 4 1 3 2 0 0 755 5 0 240 995.0 0 4 1 3 1009 0 0.000000 1009 0 0 2 0 3 1 3 6 7 1 6 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1065 2526 20 3 45 11857.000000 1 0 3 0 1 0 5 3 3 0 2 5 5 1977 1977 1 0 5 5 3 4 1 2 3 0 0 539 5 0 501 1040.0 0 4 1 3 1040 0 0.000000 1040 0 0 1 1 3 1 3 5 7 0 6 2 748.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1066 2527 20 3 39 3792.000000 1 0 3 0 1 0 5 3 3 0 2 5 4 1977 1977 1 0 6 6 3 4 1 2 3 0 4 60 1 417 399 876.0 0 4 1 3 907 0 0.000000 907 1 0 1 0 3 1 3 5 7 0 2 1 308.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1067 2528 20 3 75 10641.000000 1 3 3 0 0 0 5 3 3 0 2 5 6 1975 1975 3 0 6 6 3 4 1 3 3 3 1 330 4 430 102 864.0 0 4 1 3 879 0 0.000000 879 0 0 1 0 3 1 3 5 7 0 2 2 440.0 3 4 2 0.0 80 0 0.000000 0.000000 0 2 6
1068 2529 20 3 60 15161.000000 1 3 3 0 4 0 5 3 3 0 2 5 5 1972 2000 1 0 10 12 3 4 1 3 3 3 0 671 5 0 193 864.0 0 2 1 3 864 0 0.000000 864 1 0 1 0 3 1 0 5 7 0 6 2 576.0 1 0 2 155.0 0 0 0.000000 0.000000 0 8 6
1069 2530 20 3 60 5387.000000 1 3 3 0 4 0 5 3 3 0 2 4 8 1972 2006 1 0 8 9 3 2 1 3 3 3 4 385 5 0 0 385.0 0 2 1 3 875 0 0.000000 875 0 0 1 0 3 1 2 5 7 0 6 2 728.0 3 4 2 352.0 0 0 0.000000 0.000000 0 8 6
1070 2531 20 3 68 9908.000000 1 3 3 0 4 0 5 3 3 0 2 7 5 2000 2000 1 0 10 12 2 4 2 3 3 1 2 1412 5 0 261 1673.0 0 0 1 3 1673 0 0.000000 1673 1 0 2 0 3 1 2 7 7 1 2 2 583.0 3 4 2 306.0 113 0 0.000000 116.000000 0 8 6
1073 2534 20 3 73 6254.000000 1 3 3 0 4 0 5 3 3 0 2 8 5 1994 1995 3 0 6 6 2 4 2 2 3 1 1 408 2 430 683 1556.0 0 0 1 3 1592 0 0.000000 1592 0 0 2 0 3 1 2 7 7 1 2 2 484.0 3 4 2 120.0 35 0 0.000000 0.000000 0 8 6
1075 2536 60 3 68 6653.000000 1 2 3 0 0 0 5 3 3 0 4 7 5 1996 2002 1 0 10 12 2 4 2 2 3 2 2 762 5 0 98 860.0 0 0 1 3 1212 780 0.000000 1992 1 0 2 1 3 1 2 7 1 2 2 2 608.0 3 4 2 225.0 32 0 0.000000 0.000000 0 8 6
1076 2537 20 3 73 5608.000000 1 1 3 0 1 1 5 3 3 0 2 8 5 1999 2000 1 0 10 12 2 4 2 2 3 1 2 915 5 0 426 1341.0 0 0 1 3 1341 0 0.000000 1341 1 0 1 1 1 1 2 5 7 1 2 2 482.0 3 4 2 240.0 84 0 0.000000 0.000000 0 8 6
1077 2538 60 3 70 5498.000000 1 0 3 0 4 0 5 3 3 0 4 7 5 2007 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 738 738.0 0 0 1 3 738 738 0.000000 1476 0 0 2 1 3 1 2 7 7 0 2 2 552.0 3 4 2 0.0 35 0 0.000000 0.000000 0 6 7
1078 2539 20 3 65 2619.000000 1 3 3 0 2 0 5 3 3 0 2 7 5 2005 2005 1 0 10 12 2 4 2 2 3 0 2 709 5 0 460 1169.0 0 0 1 3 1190 0 0.000000 1190 1 0 2 0 2 1 2 5 7 0 2 2 578.0 3 4 2 100.0 41 0 0.000000 0.000000 0 8 6
1079 2540 20 3 64 4659.000000 1 3 3 0 4 0 5 3 3 0 2 6 5 2006 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1330 1330.0 0 0 1 3 1330 0 0.000000 1330 0 0 2 0 3 1 2 6 7 1 2 2 437.0 3 4 2 0.0 23 0 0.000000 0.000000 0 6 7
1082 2543 85 3 75 3382.000000 1 3 2 0 4 0 7 3 3 0 5 5 5 1967 1967 1 0 6 6 3 4 1 2 3 1 0 936 5 0 0 936.0 0 2 1 3 936 0 0.000000 936 1 0 1 0 2 1 3 4 7 1 2 1 384.0 3 4 2 405.0 0 0 0.000000 0.000000 0 8 1
1083 2544 20 3 67 6072.000000 1 3 3 0 4 0 7 3 3 0 2 4 6 1963 1963 1 0 10 12 3 2 1 3 3 3 1 132 3 430 115 1088.0 0 4 1 3 1088 0 0.000000 1088 0 0 1 0 2 1 3 4 7 0 6 2 520.0 3 4 1 0.0 0 0 0.000000 0.000000 0 0 6
1084 2545 50 3 74 16170.000000 1 3 3 0 4 0 7 3 3 0 0 5 6 1925 1950 1 0 10 12 3 2 1 3 3 3 0 130 1 105 666 901.0 0 4 1 3 901 450 0.000000 1351 1 0 1 0 3 1 3 7 7 1 6 2 576.0 3 4 0 0.0 0 43 0.000000 100.000000 0 8 6
1085 2546 20 3 80 -283.000000 1 3 3 0 4 0 7 3 3 0 2 6 6 1960 1960 3 0 6 6 3 4 1 3 3 3 5 0 5 0 1179 1179.0 0 2 1 3 1179 0 0.000000 1179 0 0 1 0 2 1 3 5 1 0 2 2 622.0 3 4 1 0.0 0 0 0.000000 0.000000 0 8 6
1086 2547 80 3 65 10047.000000 1 3 3 0 4 0 7 3 3 0 6 6 6 1976 1976 1 0 6 9 3 1 1 3 3 0 2 504 5 0 456 960.0 0 4 1 3 1044 0 0.000000 1044 1 0 1 0 3 1 3 7 7 1 6 2 528.0 3 1 2 228.0 0 0 0.000000 0.000000 0 8 6
1087 2548 90 3 68 11872.000000 1 0 3 0 1 0 7 3 3 2 4 5 6 1979 1979 1 0 8 9 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 1 3 1100 1133 0.000000 2233 0 0 2 1 5 2 3 11 7 0 2 2 579.0 3 2 2 0.0 0 0 0.000000 0.000000 0 8 6
1088 2549 60 3 60 3251.000000 1 3 3 0 4 0 7 3 3 0 4 5 5 2005 2006 1 0 10 12 3 4 2 2 1 3 2 611 5 0 123 734.0 0 2 1 3 734 674 0.000000 1408 1 0 2 1 3 1 3 6 7 0 4 2 489.0 3 4 2 0.0 85 0 0.000000 0.000000 0 8 6
1089 2550 20 3 128 16681.000000 1 0 0 0 4 0 7 3 3 0 2 10 5 2008 2009 3 0 5 5 0 4 2 0 3 1 2 3008 5 0 1085 2878.5 0 0 1 3 2949 0 0.000000 3572 1 1 2 1 2 1 0 15 7 2 2 3 1154.0 3 4 2 546.0 311 0 0.000000 0.000000 0 6 7
1090 2551 180 4 35 2823.000000 1 3 3 0 4 0 7 2 2 4 5 6 5 2005 2005 1 0 10 12 3 4 2 2 3 1 2 467 5 0 80 547.0 0 0 1 3 1072 0 0.000000 1072 1 0 1 0 2 1 2 5 7 0 3 2 525.0 3 4 2 0.0 44 0 0.000000 0.000000 0 8 5
1091 2552 20 3 64 6245.000000 1 3 3 0 4 0 7 3 3 0 2 5 7 1959 2000 1 0 12 14 3 4 1 3 3 0 4 77 0 430 52 960.0 0 0 1 3 960 0 0.000000 960 1 0 1 0 2 1 1 4 7 0 6 1 392.0 3 4 2 144.0 0 35 0.000000 0.000000 0 8 6
1092 2553 90 3 74 3300.000000 1 3 3 0 0 0 7 3 3 2 2 4 3 1955 1955 1 0 0 9 3 4 2 1 2 2 3 0 2 0 0 0.0 0 4 0 3 1152 0 0.000000 1152 0 0 2 0 2 2 1 6 7 0 5 0 0.0 2 0 0 0.0 0 0 0.000000 0.000000 0 8 6
1093 2554 90 3 52 6065.000000 1 3 3 0 4 0 7 3 3 2 2 5 6 1946 1950 1 0 8 9 3 4 1 3 3 3 5 0 5 0 1195 1195.0 0 4 0 3 1195 0 0.000000 1195 0 0 2 0 4 2 3 8 7 0 5 0 0.0 2 0 0 118.0 0 0 0.000000 0.000000 0 8 1
1094 2555 40 3 62 18381.000000 1 3 0 0 0 0 7 3 3 0 0 6 8 1920 1995 1 0 11 13 3 4 0 3 3 3 3 144 0 278 238 660.0 0 4 1 3 740 125 0.000000 865 1 0 1 0 2 1 3 4 7 1 6 1 216.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
1095 2556 20 3 60 7778.000000 1 3 3 0 4 0 7 3 3 0 2 4 5 1955 1955 1 0 7 8 3 4 1 3 3 3 1 544 5 0 224 768.0 0 4 1 3 768 0 0.000000 768 0 0 1 0 2 1 3 4 7 1 6 1 355.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
1096 2557 20 3 60 17847.000000 1 3 1 0 4 0 7 3 3 0 2 4 5 1955 1955 1 0 12 9 3 4 1 3 3 3 0 682 5 0 182 864.0 0 4 1 3 864 0 0.000000 864 1 0 1 0 3 1 3 5 7 0 6 2 528.0 3 4 0 196.0 0 0 0.000000 0.000000 0 0 4
1097 2558 90 3 60 4831.000000 1 3 3 0 4 0 18 3 3 2 4 5 6 1923 1950 3 0 11 9 3 4 2 3 3 2 4 371 5 0 925 1296.0 2 1 0 0 1296 1296 0.000000 2592 2 0 2 0 6 2 3 12 1 0 5 0 0.0 2 0 2 0.0 311 66 0.000000 0.000000 0 8 2
1098 2559 30 3 54 5067.000000 1 3 3 0 4 0 6 3 3 0 2 5 5 1926 1950 3 0 9 9 3 4 2 3 3 2 1 319 5 0 971 1290.0 0 4 1 3 1422 0 0.000000 1422 0 0 1 0 3 1 3 6 7 0 6 1 352.0 3 4 2 0.0 0 64 0.000000 0.000000 0 8 6
1099 2560 50 3 51 5465.000000 1 3 1 0 4 0 6 3 3 0 0 6 7 1921 2005 1 0 11 13 3 4 0 3 3 3 1 113 5 0 538 651.0 0 2 1 3 759 539 0.000000 1298 0 0 2 0 2 1 3 8 7 1 6 1 240.0 3 4 1 216.0 0 66 0.000000 0.000000 0 8 6
1100 2561 70 3 63 6677.000000 1 3 3 0 4 0 6 3 3 0 4 7 8 1930 1995 1 0 11 13 3 4 0 2 3 3 2 246 5 0 285 531.0 0 4 1 3 567 531 0.000000 1098 1 0 1 0 2 1 3 5 7 1 6 1 216.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1101 2562 70 3 53 8352.000000 1 3 3 0 4 0 6 3 3 0 4 6 7 1921 1950 1 0 10 12 3 4 0 3 3 3 5 0 5 0 585 585.0 0 4 0 3 851 585 0.000000 1436 0 0 1 0 3 1 3 7 7 1 6 1 228.0 3 4 2 184.0 0 0 0.000000 0.000000 0 1 6
1102 2563 70 3 53 12571.000000 1 3 3 0 4 0 6 3 3 0 4 6 8 1926 1991 1 0 11 13 3 4 0 3 3 3 5 0 5 0 686 686.0 0 4 1 3 686 775 0.000000 1461 0 0 1 0 3 1 3 6 7 1 6 1 225.0 3 4 0 0.0 0 66 0.000000 0.000000 0 8 6
1103 2564 70 3 60 9288.000000 1 3 3 0 4 0 6 3 3 0 3 7 7 1927 1992 1 0 10 12 3 4 0 3 3 3 5 0 5 0 851 851.0 0 2 1 3 867 851 0.000000 1718 0 0 2 1 4 1 2 8 7 1 6 2 264.0 3 4 2 291.0 0 60 0.000000 153.000000 0 8 6
1104 2565 20 3 126 1708.000000 1 1 1 0 4 0 6 3 3 0 2 5 5 1951 1951 1 0 11 13 3 4 1 1 2 2 3 0 2 0 0 0.0 0 1 1 3 1226 0 0.000000 1226 0 0 1 1 2 1 3 7 0 1 2 2 400.0 3 4 2 174.0 24 66 0.000000 153.453113 0 8 6
1105 2566 50 3 110 18589.000000 1 0 1 0 4 0 6 3 3 0 0 4 6 1930 2003 1 0 0 5 3 2 0 3 1 3 2 189 5 0 741 930.0 0 0 1 3 1230 525 0.000000 1755 0 0 2 0 4 1 2 7 7 1 6 1 231.0 0 4 2 0.0 40 0 0.000000 0.000000 0 8 6
1106 2567 190 3 79 4936.000000 1 0 3 0 4 0 6 3 3 1 0 5 5 1941 1950 1 0 10 12 3 4 1 3 0 3 3 533 5 0 195 728.0 0 0 1 3 760 595 0.000000 1355 0 0 2 0 3 1 3 5 7 0 6 2 528.0 3 4 2 0.0 0 0 0.000000 144.000000 0 8 6
1107 2568 20 3 68 5289.000000 1 0 3 0 1 0 6 3 3 0 2 6 4 1960 1960 1 0 11 8 3 1 1 3 1 2 3 540 4 430 0 1560.0 0 4 1 3 1560 0 0.000000 1560 0 0 1 1 3 1 3 6 7 3 2 2 580.0 3 4 2 0.0 75 66 0.000000 0.000000 0 8 6
1108 2569 20 3 68 11882.000000 1 0 3 0 1 0 6 3 3 0 2 6 6 1968 1968 3 0 6 3 3 4 2 2 3 3 1 813 5 0 675 1488.0 0 0 1 3 1488 0 0.000000 1488 0 1 2 0 3 1 3 7 7 2 2 2 552.0 3 4 2 0.0 0 66 0.000000 0.000000 0 1 6
1109 2570 160 4 24 17327.000000 1 3 3 0 4 0 1 2 2 3 4 6 6 1980 1980 1 0 7 8 3 2 1 2 3 3 2 330 5 0 186 516.0 0 2 1 3 529 516 0.000000 1045 0 0 1 0 2 1 3 5 7 1 6 2 462.0 3 4 2 180.0 0 0 0.000000 0.000000 0 8 5
1110 2571 20 3 68 6140.000000 1 1 3 0 4 0 6 3 3 0 2 4 5 1995 1996 1 0 10 12 3 4 2 2 3 3 5 0 5 0 1680 1680.0 0 2 1 3 1680 0 0.000000 1680 0 0 2 0 4 1 2 7 7 0 2 2 628.0 3 4 2 152.0 0 0 0.000000 0.000000 0 8 6
1111 2572 120 4 35 14061.000000 1 0 0 0 4 1 1 2 2 4 2 8 5 1988 1988 1 0 6 6 3 4 1 2 3 1 2 577 5 0 427 1004.0 0 2 1 3 1020 0 0.000000 1020 1 0 1 0 1 1 3 4 7 0 2 2 509.0 3 4 2 135.0 0 0 0.000000 0.000000 0 8 5
1112 2573 20 3 68 11789.000000 1 0 0 0 0 0 6 3 3 0 2 7 5 1971 1971 1 0 8 9 3 4 1 2 3 3 4 434 5 0 1262 1696.0 0 0 1 3 1696 0 0.000000 1696 0 0 2 0 3 1 3 7 7 2 2 2 625.0 3 4 2 0.0 146 0 0.000000 0.000000 0 8 6
1113 2574 20 3 70 9634.000000 1 0 1 0 1 0 6 3 3 0 2 8 5 1986 1986 1 0 12 9 2 4 1 2 3 3 5 0 5 0 279 279.0 0 2 1 3 2726 0 0.000000 2726 0 0 2 1 2 1 2 6 7 1 2 2 691.0 1 2 2 216.0 64 66 0.000000 0.000000 228 8 6
1114 2575 50 4 50 9748.000000 1 3 3 0 0 0 9 2 2 0 0 6 7 1940 1950 1 0 11 13 3 4 0 3 3 3 0 375 5 0 345 720.0 0 2 1 0 720 495 0.000000 1215 0 0 1 0 3 1 2 6 7 0 6 2 720.0 3 4 2 0.0 0 30 0.000000 0.000000 0 8 5
1115 2576 50 4 50 6937.000000 1 3 3 0 4 0 9 0 2 0 0 5 7 1925 2003 1 0 10 12 2 2 0 3 2 3 5 0 5 0 936 936.0 0 0 1 3 936 665 0.000000 1601 0 0 2 0 3 1 3 6 7 0 5 0 0.0 2 0 0 0.0 0 0 37.972624 0.000000 0 8 5
1116 2577 70 4 50 4083.000000 1 3 3 0 4 0 9 2 2 0 4 5 6 1923 1999 1 0 11 9 3 4 0 2 3 3 0 548 5 0 311 859.0 0 0 1 3 942 886 0.000000 1828 0 0 2 0 3 1 2 6 7 0 6 1 472.0 2 0 2 174.0 0 66 0.000000 0.000000 0 8 3
1117 2578 30 4 46 16470.000000 1 3 3 0 4 0 9 0 2 0 2 5 7 1922 1950 1 0 9 11 3 4 0 3 3 3 5 0 5 0 816 816.0 0 0 1 3 816 0 0.000000 816 0 0 1 0 2 1 3 5 7 0 6 1 100.0 0 1 0 0.0 0 66 0.000000 0.000000 0 8 5
1118 2579 50 4 64 17470.000000 1 3 3 0 0 0 9 2 2 0 0 2 4 1939 1950 1 0 7 8 3 4 0 1 2 2 3 0 2 0 0 0.0 0 0 1 3 640 0 62.304757 845 0 0 1 0 1 1 3 4 4 0 6 1 256.0 3 1 0 48.0 0 0 0.000000 0.000000 0 8 5
1119 2580 190 0 75 9723.000000 1 3 3 0 4 0 9 1 3 1 4 5 6 1895 2006 1 0 10 12 3 2 1 3 3 3 5 0 5 0 957 957.0 0 1 0 3 1034 957 0.000000 1991 0 0 2 0 4 2 3 9 7 0 5 0 0.0 2 0 0 0.0 0 66 0.000000 0.000000 0 8 6
1120 2581 20 0 65 10032.000000 1 3 3 0 0 0 9 3 3 0 2 4 6 1957 1980 1 0 7 8 3 4 1 3 3 3 2 967 5 0 106 1073.0 0 2 1 0 1073 0 0.000000 1073 1 0 1 0 3 1 3 6 7 0 6 2 720.0 3 4 2 0.0 311 0 0.000000 0.000000 0 8 1
1121 2582 30 0 60 126.000000 1 3 3 0 4 0 9 3 3 0 2 5 9 1930 2007 3 0 7 8 2 4 0 3 3 3 0 737 5 0 100 837.0 0 0 1 3 1001 0 0.000000 1001 0 0 1 0 2 1 2 5 7 0 6 1 216.0 3 3 0 154.0 0 42 37.972624 0.000000 0 8 6
1122 2583 120 4 59 9475.000000 1 0 1 0 4 1 6 2 2 4 2 8 5 2006 2007 3 0 5 5 2 4 2 2 3 1 2 1573 5 0 0 1573.0 0 2 1 3 1625 0 0.000000 1625 1 1 2 0 2 1 2 5 7 1 2 2 495.0 3 4 2 123.0 0 0 0.000000 153.000000 0 6 7
1123 2584 85 3 68 7037.000000 1 0 0 0 1 0 11 3 3 0 5 6 6 1979 1979 1 0 6 14 3 4 1 2 3 0 2 1001 5 0 0 1001.0 0 4 1 3 1299 0 0.000000 1299 1 0 2 0 2 1 2 5 7 1 4 2 486.0 3 4 2 84.0 0 66 0.000000 0.000000 0 8 6
1125 2586 20 3 44 7388.000000 1 0 3 0 1 0 11 3 3 0 2 7 5 2002 2002 1 0 10 12 2 4 2 2 3 3 2 1392 5 0 17 1409.0 0 0 1 3 1409 0 0.000000 1409 1 0 1 1 1 1 2 4 7 1 2 2 576.0 3 4 2 0.0 144 0 0.000000 145.000000 0 8 6
1127 2588 80 3 68 8197.000000 1 0 3 0 4 0 11 3 3 0 6 7 6 1975 1975 1 0 8 9 3 4 1 3 3 0 4 224 2 430 98 852.0 0 4 1 3 918 0 0.000000 918 0 1 1 0 3 0 3 4 7 0 2 1 360.0 3 4 2 192.0 84 0 0.000000 0.000000 0 8 6
1128 2589 85 3 82 2942.000000 1 0 3 0 0 0 11 3 3 0 5 6 6 1974 1974 1 0 8 9 3 4 1 2 3 0 0 924 5 0 46 970.0 0 4 1 3 1026 0 0.000000 1026 1 0 1 0 2 1 3 5 7 1 2 2 528.0 3 4 2 193.0 0 0 0.000000 0.000000 0 8 6
1129 2590 120 3 46 7169.000000 1 0 3 0 4 0 23 3 3 4 2 7 6 1987 1987 1 0 10 12 2 4 0 2 3 0 2 949 5 0 552 1501.0 0 0 1 3 1501 0 0.000000 1501 1 0 2 0 2 1 2 5 7 2 2 2 512.0 3 4 2 240.0 0 0 0.000000 0.000000 0 8 6
1130 2591 20 3 149 7551.000000 1 3 3 0 4 0 23 3 3 0 2 6 8 1958 1995 3 0 6 6 3 2 1 3 3 3 5 132 5 0 585 585.0 0 2 1 3 2279 0 0.000000 2279 0 0 2 1 4 1 2 7 7 1 2 2 461.0 3 4 2 274.0 0 0 0.000000 138.000000 0 8 6
1131 2592 20 3 67 11352.000000 1 0 1 0 4 0 23 3 3 0 2 7 5 2006 2007 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1689 1689.0 0 0 1 3 1689 0 0.000000 1689 0 0 2 0 3 1 2 7 7 0 2 2 433.0 3 4 2 100.0 39 0 0.000000 0.000000 0 6 7
1132 2593 20 3 68 4630.000000 1 0 1 0 4 0 23 3 3 0 2 8 5 2006 2007 3 0 10 12 2 4 2 2 3 0 2 583 5 0 963 1546.0 0 0 1 3 1564 0 0.000000 1564 0 0 2 0 2 1 0 6 7 1 2 2 502.0 3 4 2 132.0 0 0 0.000000 0.000000 0 6 7
1133 2594 20 3 42 209.000000 1 3 3 0 1 0 23 3 3 0 2 7 7 1985 1985 1 0 8 9 3 4 1 2 3 3 0 215 1 80 970 1265.0 0 2 1 3 1240 0 0.000000 1240 0 1 2 0 3 1 2 6 7 0 2 2 528.0 3 4 2 232.0 0 0 0.000000 0.000000 0 8 6
1134 2595 20 3 68 3538.000000 1 0 3 0 4 0 23 3 3 0 2 8 5 2001 2001 1 0 10 12 2 4 2 0 3 2 2 250 5 0 1017 1267.0 0 0 1 3 1312 0 0.000000 1312 0 0 2 0 2 1 2 5 7 0 2 2 471.0 3 4 2 256.0 28 0 0.000000 0.000000 0 8 6
1135 2596 20 3 80 12716.000000 1 3 3 0 4 0 23 3 3 0 2 8 5 2002 2002 3 0 10 12 2 4 2 2 3 0 2 1329 5 0 593 1922.0 0 0 1 3 1922 0 0.000000 1922 1 0 2 0 2 1 2 6 7 1 2 3 692.0 3 4 2 201.0 64 0 0.000000 0.000000 0 8 6
1136 2597 20 3 68 13921.000000 1 0 3 0 4 0 23 3 3 0 2 6 5 1996 1996 1 0 10 12 2 4 2 0 3 3 5 0 5 0 1491 1491.0 0 0 1 3 1491 0 0.000000 1491 0 0 2 0 3 1 3 7 7 1 2 2 571.0 3 4 2 0.0 35 0 0.000000 0.000000 0 8 6
1137 2598 60 3 68 4920.000000 1 0 3 0 4 0 23 3 3 0 4 7 5 2003 2004 1 0 10 12 2 4 2 2 3 1 2 766 5 0 356 1122.0 0 0 1 3 1146 1340 0.000000 2486 1 0 3 1 5 1 2 10 7 1 4 2 452.0 3 4 2 143.0 32 0 0.000000 0.000000 0 8 6
1138 2599 20 3 85 13195.000000 1 0 1 0 4 0 23 4 4 0 2 10 5 2006 2007 3 0 7 8 0 4 2 0 3 1 5 0 5 0 1824 1824.0 0 0 1 3 1824 0 0.000000 1824 0 0 2 0 3 1 0 8 7 1 2 3 932.0 3 4 2 160.0 36 0 0.000000 108.000000 0 6 7
1139 2600 20 3 200 11069.000000 1 3 3 0 4 0 11 0 3 0 2 3 5 1953 1953 1 0 7 8 3 4 1 1 2 2 3 132 2 0 0 0.0 0 0 1 3 2034 0 0.000000 2034 0 0 1 0 2 1 3 9 0 0 1 4 1041.0 3 4 0 483.0 266 0 0.000000 0.000000 561 8 6
1140 2601 120 4 62 1343.000000 1 0 3 0 3 0 11 2 2 4 5 6 5 1996 1997 1 0 10 12 3 4 2 0 3 0 4 16 2 430 0 920.0 0 0 1 3 936 0 0.000000 936 2 0 0 1 0 1 3 3 7 0 2 2 460.0 3 4 2 0.0 40 0 0.000000 0.000000 0 8 5
1141 2602 160 4 21 10164.000000 1 3 3 0 4 0 10 2 2 3 4 4 4 1972 1972 1 0 5 5 3 4 1 3 3 3 1 252 5 0 294 546.0 0 4 1 3 546 546 0.000000 1092 0 0 1 1 3 1 3 5 7 0 2 1 253.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
1142 2603 180 4 68 7602.000000 1 3 3 0 4 0 10 2 2 3 6 4 5 1970 1970 1 0 5 5 3 4 1 2 3 0 2 503 5 0 27 530.0 0 4 1 3 530 462 0.000000 992 1 0 1 0 2 1 3 4 7 0 4 1 297.0 3 4 2 112.0 97 0 0.000000 0.000000 0 8 5
1143 2604 160 4 21 8067.000000 1 3 3 0 4 0 10 2 2 4 4 4 6 1970 1970 1 0 5 5 3 4 1 3 3 3 0 384 5 0 162 546.0 0 0 1 3 546 546 0.000000 1092 0 0 1 1 3 1 3 5 7 0 5 0 0.0 2 0 2 0.0 64 0 0.000000 0.000000 0 8 5
1144 2605 160 4 21 14403.000000 1 3 3 0 4 0 10 2 2 3 4 4 3 1976 1976 1 0 5 5 3 4 1 3 3 3 5 0 5 0 546 546.0 0 0 1 3 546 546 0.000000 1092 0 0 1 1 3 1 3 6 7 0 2 1 286.0 3 4 2 0.0 0 0 0.000000 0.000000 0 0 5
1145 2606 85 3 72 15827.000000 1 3 3 0 4 0 11 3 3 0 5 5 5 1977 1977 1 0 8 9 3 4 2 2 3 0 2 923 5 0 0 923.0 0 4 1 3 1008 0 0.000000 1008 1 0 1 0 1 1 2 4 7 1 2 2 678.0 3 4 2 201.0 66 0 0.000000 0.000000 0 8 6
1146 2607 80 3 68 9015.000000 1 0 2 0 0 1 11 3 3 0 6 6 6 1977 1977 1 0 6 9 3 4 2 2 3 1 2 1148 5 0 96 1244.0 0 4 1 3 1356 0 0.000000 1356 2 0 2 0 3 1 3 6 7 1 2 2 528.0 3 4 2 685.5 0 0 0.000000 0.000000 0 8 6
1147 2608 20 3 61 16798.000000 1 0 3 0 4 0 11 3 3 0 2 5 6 1977 1994 1 0 8 9 3 1 2 3 3 2 0 1112 5 0 48 1160.0 0 4 1 3 1676 0 0.000000 1676 1 0 1 1 3 1 2 6 5 2 2 2 672.0 3 4 1 685.5 90 0 0.000000 0.000000 0 8 6
1148 2609 60 3 68 12472.000000 1 0 3 0 0 0 11 3 3 0 4 5 7 1977 1977 1 0 8 9 3 4 2 2 3 3 4 531 5 0 185 716.0 0 0 1 3 716 716 0.000000 1432 1 0 1 1 3 1 3 6 7 1 2 2 531.0 3 4 2 0.0 136 0 0.000000 153.453113 0 8 6
1149 2610 85 3 50 7182.000000 1 3 3 0 4 0 11 3 3 0 5 5 7 1971 1971 1 0 11 6 3 4 1 2 3 0 2 796 5 0 0 796.0 0 4 1 3 796 0 0.000000 796 0 1 1 0 2 1 3 5 7 0 5 0 0.0 2 0 2 129.0 0 0 0.000000 0.000000 0 8 6
1150 2611 20 3 124 14060.000000 1 3 3 0 4 0 11 3 3 0 2 4 3 1961 1961 5 0 8 9 3 4 1 3 3 3 1 811 5 0 585 1396.0 0 4 0 3 1608 0 0.000000 1608 0 0 1 0 3 1 3 6 7 0 2 1 444.0 3 1 2 152.0 38 0 0.000000 0.000000 0 0 1
1151 2612 20 3 68 10314.000000 1 1 3 0 0 0 11 3 3 0 2 5 6 1976 2003 1 0 8 9 3 4 2 2 3 3 3 1090 5 0 0 1090.0 0 4 1 3 1178 0 0.000000 1178 1 0 1 1 3 1 3 6 7 0 2 2 502.0 3 4 2 0.0 44 0 0.000000 88.000000 0 8 6
1153 2614 20 3 62 9784.000000 1 3 3 0 4 0 11 3 3 0 2 5 6 1984 1984 1 0 8 6 3 4 1 3 3 3 0 516 5 0 348 864.0 0 4 1 3 887 0 0.000000 887 0 1 1 0 3 1 3 5 7 0 2 1 288.0 3 4 2 140.0 0 0 0.000000 0.000000 0 8 6
1154 2615 20 3 68 18869.000000 1 0 3 0 4 0 12 3 3 0 2 6 5 1954 1954 3 0 11 13 3 4 1 3 3 3 1 468 4 430 171 1178.0 0 2 1 3 1293 0 0.000000 1293 1 0 2 0 2 1 3 5 7 0 2 2 452.0 3 4 2 280.0 0 0 0.000000 0.000000 0 8 6
1155 2616 20 3 85 3022.000000 1 0 3 0 4 0 12 3 3 0 2 6 6 1956 1956 3 0 10 12 3 2 1 3 3 3 4 773 5 0 235 1008.0 0 4 1 3 1024 0 0.000000 1024 1 0 1 0 2 1 2 5 7 2 2 1 313.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
1157 2618 20 3 68 13094.000000 1 0 2 0 1 2 12 3 3 0 2 6 6 1957 1957 1 0 11 13 3 4 1 2 3 1 0 1110 5 0 595 1705.0 0 0 1 3 1390 0 0.000000 1390 1 0 1 1 1 1 0 4 0 2 2 2 550.0 3 4 2 0.0 189 0 0.000000 0.000000 0 8 1
1158 2619 20 3 90 4072.000000 1 3 3 0 0 0 12 3 3 0 2 7 6 1969 1969 1 0 6 6 3 2 1 3 3 2 5 0 5 0 1851 1851.0 0 2 1 3 1851 0 0.000000 1851 0 0 2 0 3 1 3 8 7 1 2 2 506.0 3 4 2 0.0 146 0 0.000000 0.000000 0 8 6
1159 2620 60 3 60 11174.000000 1 0 3 0 4 0 8 3 3 0 4 6 5 1997 1998 1 0 10 12 3 4 2 3 3 3 2 700 5 0 113 813.0 0 0 1 3 813 712 0.000000 1525 1 0 2 1 3 1 3 6 7 1 2 2 400.0 3 4 2 421.0 72 0 0.000000 0.000000 0 8 6
1162 2623 60 3 50 9694.000000 1 0 1 0 1 0 8 3 3 0 4 8 5 2005 2005 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1074 1074.0 0 0 1 3 1074 990 0.000000 2064 0 0 2 1 4 1 2 7 7 1 2 2 527.0 3 4 2 0.0 119 0 0.000000 0.000000 0 8 6
1163 2624 60 3 42 6712.000000 1 0 1 0 1 0 8 3 3 0 4 7 5 2005 2006 1 0 10 12 2 4 2 2 3 0 2 60 5 0 1640 1700.0 0 0 1 3 1700 512 0.000000 2212 1 0 2 1 3 1 2 9 7 1 2 3 773.0 3 4 2 237.0 38 0 0.000000 115.000000 0 6 7
1164 2625 160 3 68 14743.000000 1 0 3 0 4 0 22 3 3 0 4 8 5 1994 1994 1 0 5 5 2 4 2 2 3 3 5 0 5 0 1958 2062.0 0 0 1 3 2079 608 0.000000 2687 0 0 2 1 4 1 2 9 7 0 2 2 618.0 3 4 2 168.0 12 0 0.000000 0.000000 0 8 6
1165 2626 20 3 68 12934.000000 1 0 3 0 4 0 8 3 3 0 2 6 6 1993 1994 1 0 6 6 3 4 2 2 3 3 2 705 5 0 455 1160.0 0 2 1 3 1169 0 0.000000 1169 0 1 2 0 3 1 3 6 7 1 2 2 402.0 3 4 2 0.0 26 0 0.000000 144.000000 0 8 6
1166 2627 120 3 30 11797.000000 1 0 3 0 4 0 22 3 3 4 2 8 5 1987 1987 1 0 6 6 3 4 1 2 3 3 5 0 5 0 1191 1191.0 0 4 1 3 1204 0 0.000000 1204 0 0 2 0 2 1 3 5 7 0 2 2 461.0 3 4 2 120.0 70 0 0.000000 0.000000 0 8 6
1167 2628 60 3 59 13732.000000 1 0 1 0 1 0 22 3 3 0 4 9 5 2005 2006 3 0 10 12 2 0 2 0 3 1 2 1218 5 0 180 1398.0 0 0 1 3 1414 1384 0.000000 2798 1 0 3 1 3 1 0 11 7 1 4 3 670.0 3 4 2 182.0 37 0 0.000000 0.000000 0 6 7
1168 2629 60 3 60 8754.000000 1 0 1 0 1 0 22 3 3 0 4 10 5 2006 2006 3 0 5 5 0 4 2 0 3 1 5 0 5 0 1528 1528.0 0 0 1 3 1528 1703 0.000000 3390 0 0 3 1 5 1 0 10 7 1 4 3 758.0 3 4 2 204.0 34 0 0.000000 0.000000 0 6 7
1169 2630 60 3 63 4231.000000 1 0 1 0 1 0 22 3 3 0 4 9 5 2006 2006 3 0 10 12 2 4 2 0 1 1 2 205 5 0 889 1094.0 0 0 1 3 1102 1371 0.000000 2473 0 0 2 1 4 1 2 11 7 1 4 3 675.0 3 4 2 246.0 39 0 0.000000 0.000000 0 6 7
1170 2631 60 3 82 19730.000000 1 0 3 0 1 0 22 3 3 0 4 10 5 2006 2006 3 0 10 12 0 4 2 0 3 3 2 1206 5 0 644 1850.0 0 0 1 3 1850 848 0.000000 2698 1 0 2 1 4 1 0 11 7 1 2 3 736.0 3 4 2 250.0 0 0 0.000000 0.000000 0 6 7
1171 2632 60 3 92 8293.000000 1 0 1 0 0 0 22 3 3 0 4 9 5 2005 2006 3 0 10 12 2 4 2 0 3 0 5 0 5 0 1390 1390.0 0 0 1 3 1390 1405 0.000000 2795 0 0 3 1 4 1 0 10 7 1 4 3 660.0 3 4 2 272.0 102 0 0.000000 0.000000 0 6 7
1172 2633 120 3 60 7303.000000 1 3 1 0 4 0 22 3 3 4 2 9 5 2005 2005 3 0 7 8 2 4 2 0 3 1 2 1191 5 0 523 1714.0 0 0 1 3 1714 0 0.000000 1714 1 0 2 0 2 1 2 7 7 1 2 2 517.0 3 4 2 156.0 55 0 0.000000 0.000000 0 8 6
1173 2634 20 3 90 13053.000000 1 0 1 0 4 0 22 3 3 0 2 9 5 2005 2005 3 0 10 12 0 4 2 0 3 1 2 1416 5 0 494 1910.0 0 0 1 3 2000 0 0.000000 2000 1 0 2 1 3 1 0 8 7 2 2 3 722.0 3 4 2 351.0 102 0 0.000000 123.000000 0 8 6
1174 2635 85 3 68 11323.000000 1 0 3 0 3 0 14 3 3 0 5 6 6 1980 1980 1 0 6 6 3 4 1 2 3 0 2 850 5 0 138 988.0 0 4 1 3 1102 0 0.000000 1102 1 0 1 0 2 1 3 5 7 1 2 2 582.0 3 4 2 140.0 22 0 0.000000 0.000000 0 8 6
1175 2636 60 3 81 11861.000000 1 3 3 0 4 0 14 4 3 0 4 7 5 1978 1978 1 0 8 9 3 4 1 3 3 3 5 0 5 0 945 945.0 0 4 1 3 945 912 0.000000 1857 0 0 2 1 4 1 3 8 7 1 2 2 482.0 3 4 2 400.0 105 0 0.000000 0.000000 0 8 6
1176 2637 85 3 68 16074.000000 1 0 3 0 4 0 14 3 3 0 5 7 5 1976 1976 1 0 10 14 2 4 1 0 3 1 2 1005 5 0 42 1047.0 0 4 1 3 1083 0 0.000000 1083 1 0 1 0 2 1 3 5 7 1 2 2 596.0 3 4 2 444.0 0 40 0.000000 0.000000 0 8 6
1177 2638 60 1 75 12624.000000 1 0 3 0 4 0 21 7 3 0 4 7 5 2005 2006 1 0 10 12 2 4 2 2 3 3 0 788 5 0 172 960.0 0 0 1 3 960 1358 0.000000 2318 1 0 2 1 3 1 2 8 7 1 4 2 541.0 3 4 2 0.0 246 0 0.000000 0.000000 0 6 7
1178 2639 80 3 81 15478.000000 1 3 3 0 4 0 14 3 3 0 6 6 6 1975 2000 1 0 8 9 3 4 1 3 0 3 0 548 5 0 127 675.0 0 4 1 3 1109 766 0.000000 1875 0 0 3 0 3 1 2 8 7 1 2 2 485.0 3 4 2 48.0 28 0 0.000000 0.000000 0 8 6
1180 2641 20 3 60 15610.000000 1 3 3 0 4 0 12 3 3 0 2 4 4 1971 1971 1 0 6 6 3 4 1 3 3 3 4 20 3 430 224 864.0 0 4 1 3 874 0 0.000000 874 0 1 1 0 3 1 3 5 7 0 6 2 576.0 3 4 2 63.0 0 0 0.000000 0.000000 0 8 6
1181 2642 120 2 26 13113.000000 1 1 3 0 2 0 12 3 3 4 2 6 5 2002 2002 1 0 7 8 2 4 2 2 3 3 2 951 5 0 536 1487.0 0 0 1 3 1419 0 0.000000 1419 1 0 2 0 2 1 2 4 7 0 2 2 543.0 3 4 2 196.0 68 0 0.000000 0.000000 0 8 6
1182 2643 160 4 24 4882.000000 1 3 3 0 4 0 2 2 2 4 4 6 5 1973 1973 1 0 6 6 3 4 1 3 3 3 5 0 5 0 525 525.0 0 4 1 3 525 567 0.000000 1092 0 0 1 1 3 1 3 6 7 0 6 2 440.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
1183 2644 160 4 24 13756.000000 1 3 3 0 4 0 2 2 2 4 4 5 6 1973 1973 1 0 6 6 3 4 1 3 3 3 3 402 5 0 363 765.0 0 2 1 3 765 600 0.000000 1365 0 0 1 1 3 1 2 7 0 1 2 2 440.0 3 4 2 0.0 36 0 0.000000 0.000000 0 8 5
1184 2645 160 4 21 4062.000000 1 3 3 0 4 0 2 2 2 3 4 6 7 1972 1972 1 0 6 6 3 4 1 3 3 3 0 282 5 0 212 494.0 0 0 1 3 494 536 0.000000 1030 0 0 1 1 3 1 3 6 7 0 6 1 264.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
1185 2646 160 4 21 13444.000000 1 3 3 0 4 0 2 2 2 3 4 6 5 1972 1972 1 0 6 6 3 4 1 3 3 3 0 276 5 0 207 483.0 0 4 1 3 483 465 0.000000 948 0 0 1 1 2 1 3 5 7 0 6 1 264.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
1186 2647 160 4 21 10140.000000 1 3 3 0 4 0 2 2 2 3 4 6 5 1972 1972 1 0 6 6 3 4 1 3 3 3 1 382 5 0 143 525.0 0 2 1 3 525 567 0.000000 1092 0 0 1 1 3 1 3 6 7 0 6 1 264.0 3 4 2 352.0 0 0 0.000000 0.000000 0 8 5
1187 2648 120 3 53 12002.000000 1 3 3 0 4 0 13 3 3 4 2 6 5 1975 1975 1 0 8 9 3 4 1 2 3 3 0 727 1 156 186 1069.0 0 2 1 3 1069 0 0.000000 1069 0 1 2 0 2 1 3 4 7 1 2 2 440.0 3 4 2 0.0 55 0 0.000000 153.453113 0 8 6
1188 2649 20 3 65 14020.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1967 1975 3 0 7 8 3 4 1 3 3 2 0 373 4 108 462 943.0 0 4 1 3 1387 0 0.000000 1387 1 0 1 0 3 1 3 6 7 1 2 1 300.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
1189 2650 120 3 24 10295.000000 1 3 3 0 2 0 13 3 3 3 2 7 7 1976 1976 1 0 8 2 3 4 1 3 3 3 0 120 1 430 443 1055.0 0 4 1 3 1055 0 0.000000 1055 1 0 2 0 2 1 3 4 7 0 2 1 319.0 3 4 2 0.0 29 0 0.000000 0.000000 0 8 6
1190 2651 160 3 24 9671.000000 1 3 3 0 4 0 13 3 3 3 4 6 5 1976 1976 1 0 8 2 3 4 1 2 3 3 0 70 5 0 785 855.0 0 2 1 3 855 601 0.000000 1456 0 0 2 1 3 1 3 6 7 1 2 2 460.0 3 4 2 0.0 28 0 0.000000 0.000000 0 8 6
1191 2652 60 3 72 13722.000000 1 0 3 0 4 0 16 3 3 0 4 9 5 2006 2006 3 0 10 12 2 4 2 0 1 3 2 1369 5 0 369 1738.0 0 2 1 3 1738 851 0.000000 2589 1 0 2 1 4 1 0 11 7 1 2 3 831.0 3 4 2 0.0 0 0 0.000000 0.000000 0 6 7
1192 2653 20 3 110 8171.000000 1 3 3 0 0 0 16 3 3 0 2 8 5 2004 2004 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1618 1618.0 0 0 1 3 1618 0 0.000000 1618 0 0 2 0 2 1 2 6 7 1 2 3 880.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1193 2654 20 3 108 10029.000000 1 3 3 0 0 0 16 3 3 0 2 7 5 2006 2006 3 0 10 12 2 4 2 0 1 3 5 0 5 0 1721 1721.0 0 0 1 3 1740 0 0.000000 1740 0 0 2 0 4 1 2 8 7 0 2 3 874.0 3 4 2 0.0 43 0 0.000000 0.000000 0 6 7
1194 2655 20 3 120 10579.000000 1 0 1 0 0 1 16 3 3 0 2 9 5 2005 2005 3 0 10 12 0 4 2 0 3 1 2 1505 5 0 363 1868.0 0 0 1 3 1868 0 0.000000 1868 1 0 2 0 2 1 0 7 7 1 2 3 1085.0 3 4 2 354.0 56 0 0.000000 153.453113 0 8 6
1195 2656 60 3 120 8970.000000 1 0 3 0 0 0 16 3 3 0 4 9 5 2005 2006 3 0 10 12 2 4 2 2 3 0 5 0 5 0 1090 1090.0 0 0 1 3 1117 1089 0.000000 2206 0 0 2 1 4 1 0 10 7 1 4 3 670.0 3 4 2 148.0 95 0 0.000000 0.000000 0 6 7
1196 2657 60 3 82 6670.000000 1 0 3 0 4 0 16 3 3 0 4 9 5 2005 2006 1 0 7 8 0 4 2 0 1 0 2 1290 5 0 316 1606.0 0 0 1 3 1625 466 0.000000 2091 1 0 2 1 3 1 0 8 7 1 2 2 521.0 3 4 2 194.0 84 0 0.000000 0.000000 0 6 7
1197 2658 60 3 103 11985.000000 1 0 3 0 0 0 16 3 3 0 4 8 5 2005 2006 1 0 5 5 2 4 2 0 3 0 5 0 5 0 1209 1209.0 0 0 1 3 1209 1044 0.000000 2253 0 0 2 1 3 1 0 8 7 1 2 2 575.0 3 4 2 243.0 142 0 0.000000 0.000000 0 6 7
1198 2659 60 3 82 14821.000000 1 0 3 0 4 0 16 3 3 0 4 8 5 2006 2006 1 0 10 12 2 4 2 0 3 1 5 0 5 0 1054 1054.0 0 2 1 3 1054 1335 0.000000 2389 0 0 2 1 4 1 2 10 7 1 4 3 672.0 3 4 2 176.0 64 0 0.000000 0.000000 0 6 7
1199 2660 60 3 82 11700.000000 1 0 3 0 4 0 16 3 3 0 4 8 5 2005 2006 3 0 7 8 2 4 2 0 3 0 2 880 5 0 644 1524.0 0 0 1 3 1544 814 0.000000 2358 1 0 2 1 4 1 0 10 7 1 4 3 784.0 3 4 2 120.0 34 0 0.000000 0.000000 0 6 7
1200 2661 20 3 121 6680.000000 1 0 3 0 4 0 16 3 3 0 2 9 5 2005 2006 1 0 10 12 0 4 2 0 3 1 2 1232 5 0 560 1792.0 0 0 1 3 1792 0 0.000000 1792 1 0 2 0 2 1 2 6 7 1 2 3 925.0 3 4 2 204.0 49 0 0.000000 0.000000 0 6 7
1201 2662 20 3 131 17035.000000 1 0 3 0 0 0 16 3 3 0 2 9 5 2004 2005 3 0 7 8 0 4 2 0 3 1 2 1383 5 0 397 1780.0 0 0 1 3 1780 0 0.000000 1780 1 0 2 0 2 1 0 7 7 1 2 3 816.0 3 4 2 144.0 68 0 0.000000 0.000000 0 8 6
1203 2664 120 3 48 9336.000000 1 3 3 0 4 0 16 3 3 4 2 9 5 2005 2005 3 0 7 8 0 4 2 0 3 3 2 472 5 0 1088 1560.0 0 0 1 3 1565 0 0.000000 1565 1 0 2 0 2 1 0 6 7 1 2 2 556.0 3 4 2 196.0 56 0 0.000000 0.000000 0 8 6
1204 2665 20 3 61 8509.000000 1 3 3 0 4 0 16 3 3 4 2 9 5 2006 2006 3 0 7 8 2 4 2 0 1 3 2 1023 5 0 663 1686.0 0 0 1 3 1686 0 0.000000 1686 1 0 2 0 1 1 0 6 7 1 2 3 899.0 3 4 2 266.0 100 0 0.000000 0.000000 0 6 7
1205 2666 120 3 48 8671.000000 1 3 3 0 4 0 16 3 3 4 2 9 5 2006 2006 3 0 7 8 0 4 2 0 1 3 2 415 5 0 1251 1666.0 0 0 1 3 1666 0 0.000000 1666 1 0 2 0 2 1 2 6 7 1 2 2 575.0 3 4 2 228.0 75 0 0.000000 0.000000 0 6 7
1206 2667 60 3 65 4372.000000 1 3 3 0 4 0 8 7 3 0 4 6 5 2005 2006 1 0 10 12 2 4 2 2 3 3 5 0 5 0 728 728.0 0 0 1 3 728 728 0.000000 1456 0 0 2 1 3 1 2 8 7 1 2 2 390.0 3 4 2 0.0 24 0 0.000000 0.000000 0 6 7
1207 2668 60 3 65 11703.000000 1 3 3 0 4 0 8 7 3 0 4 7 5 2006 2006 1 0 10 12 2 4 2 2 3 3 5 0 5 0 738 738.0 0 0 1 3 738 754 0.000000 1492 0 0 2 1 3 1 2 8 7 0 2 2 440.0 3 4 2 0.0 32 0 0.000000 0.000000 0 6 7
1208 2669 20 3 102 12168.000000 1 0 3 0 4 0 8 3 3 0 2 6 5 2006 2006 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1326 1326.0 0 0 1 3 1326 0 0.000000 1326 0 0 2 0 3 1 2 6 7 0 2 2 427.0 3 4 2 100.0 0 0 0.000000 0.000000 0 6 7
1209 2670 60 3 96 11361.000000 1 0 3 0 0 0 8 3 3 0 4 8 5 2004 2005 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1052 1052.0 0 0 1 3 1052 1321 0.000000 2373 0 0 2 1 4 1 2 9 7 1 4 3 632.0 3 4 2 120.0 46 0 0.000000 0.000000 0 6 7
1210 2671 60 3 75 19034.000000 1 0 3 0 4 0 8 3 3 0 4 7 5 2006 2006 1 0 10 12 2 4 2 2 3 3 5 0 5 0 738 738.0 0 0 1 3 738 754 0.000000 1492 0 0 2 1 3 1 2 8 7 0 2 2 440.0 3 4 2 100.0 32 0 0.000000 0.000000 0 6 7
1211 2672 120 3 43 5549.000000 1 3 3 0 4 0 0 3 3 4 2 7 5 2006 2006 1 0 10 12 2 4 2 2 3 0 2 453 5 0 767 1220.0 0 0 1 3 1364 0 0.000000 1364 1 0 2 0 2 1 2 6 7 1 2 2 437.0 3 4 2 100.0 16 0 0.000000 0.000000 0 6 7
1212 2673 120 3 68 5158.000000 1 3 3 0 4 0 0 3 3 4 2 7 5 2002 2002 1 0 10 12 2 4 2 2 3 0 2 1038 5 0 330 1368.0 0 0 1 3 1511 0 0.000000 1511 1 0 2 0 2 1 2 5 7 1 2 2 398.0 3 4 2 130.0 30 0 0.000000 0.000000 0 8 6
1213 2674 120 4 68 23930.000000 1 3 3 0 4 0 0 2 2 4 2 7 5 2004 2004 3 0 10 12 2 4 2 2 3 3 2 1059 5 0 306 1365.0 0 0 1 3 1548 0 0.000000 1548 1 0 2 0 2 1 2 7 7 1 2 2 388.0 3 4 2 143.0 20 0 0.000000 0.000000 0 8 5
1214 2675 120 3 43 14897.000000 1 3 3 0 4 0 0 3 3 4 2 7 5 2005 2006 1 0 10 12 2 4 2 2 3 1 2 16 5 0 1126 1142.0 0 0 1 3 1142 0 0.000000 1142 0 0 2 0 2 1 2 6 7 0 2 2 440.0 3 4 2 90.0 0 0 0.000000 0.000000 0 6 7
1215 2676 60 3 59 12051.000000 1 0 3 0 4 0 8 3 3 0 4 7 5 2004 2005 1 0 10 12 2 4 2 2 3 0 5 0 5 0 848 848.0 0 0 1 3 848 750 0.000000 1598 0 0 2 1 3 1 2 7 7 1 2 2 433.0 3 4 2 100.0 48 0 0.000000 0.000000 0 8 6
1217 2678 60 3 68 7556.000000 1 0 3 0 3 0 8 3 3 0 4 7 5 2006 2006 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1035 1035.0 0 2 1 3 1082 1240 0.000000 2322 0 0 3 1 4 1 2 8 7 0 2 3 617.0 3 4 2 400.0 45 0 0.000000 0.000000 0 6 7
1220 2681 60 3 68 13622.000000 1 0 3 0 4 0 15 3 3 0 4 9 5 2000 2000 1 0 10 12 2 4 2 0 3 0 2 1182 5 0 358 1540.0 0 0 1 3 1540 1315 0.000000 2855 1 0 2 1 4 1 0 9 7 1 2 3 774.0 3 4 2 247.0 55 0 0.000000 0.000000 0 8 6
1221 2682 60 3 83 4035.000000 1 0 3 0 4 0 15 3 3 0 4 8 5 1995 1995 3 0 10 12 2 4 2 2 3 3 0 527 5 0 815 1342.0 0 0 1 3 1358 1368 0.000000 2726 0 0 2 1 4 1 2 9 7 1 2 3 725.0 3 4 2 307.0 169 66 0.000000 0.000000 0 8 6
1222 2683 60 3 114 7860.000000 1 0 3 0 4 0 15 3 3 0 4 9 5 1993 1994 3 0 7 8 2 2 2 0 3 1 4 292 2 430 48 1733.0 0 0 1 3 1933 1567 0.000000 3500 1 0 3 1 4 1 0 11 7 1 2 3 959.0 3 4 2 685.5 86 0 0.000000 153.453113 0 8 6
1223 2684 60 3 68 7714.000000 1 0 3 0 4 0 15 3 3 0 4 8 5 1994 1995 1 0 10 12 2 4 2 2 3 1 2 380 1 168 742 1290.0 0 0 1 3 1305 1189 0.000000 2494 1 0 2 1 4 1 2 9 7 1 2 3 803.0 3 4 2 200.0 95 0 0.000000 0.000000 0 8 6
1224 2685 60 3 68 5610.000000 1 0 3 0 4 0 15 3 3 0 4 8 5 1993 1993 1 0 6 7 2 4 2 2 3 3 3 247 2 430 0 1286.0 0 0 1 3 1565 1234 0.000000 2799 1 0 2 1 3 1 2 8 7 1 2 3 704.0 3 4 2 432.0 136 0 0.000000 0.000000 0 8 6
1225 2686 60 3 75 2285.000000 1 0 3 0 4 0 21 7 3 0 4 8 5 2005 2006 1 0 5 5 2 4 2 2 1 3 5 0 5 0 1100 1100.0 0 0 1 3 1116 848 0.000000 1964 0 0 2 1 3 1 2 8 7 1 4 2 760.0 3 4 2 200.0 70 0 0.000000 0.000000 0 6 7
1226 2687 20 3 49 7517.000000 1 0 3 0 1 0 21 7 3 0 2 8 5 2006 2006 1 0 10 12 2 4 2 0 1 3 2 1562 5 0 108 1670.0 0 0 1 3 1670 0 0.000000 1670 1 0 2 1 2 1 2 6 7 1 2 3 928.0 3 4 2 0.0 240 66 0.000000 0.000000 0 6 7
1227 2688 20 3 85 3210.000000 1 3 3 0 0 0 21 1 3 0 2 8 5 2006 2006 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1504 1504.0 0 0 1 3 1504 0 0.000000 1504 0 0 2 0 3 1 2 7 7 0 2 2 510.0 3 4 2 144.0 0 0 0.000000 0.000000 0 6 7
1228 2689 20 1 72 12070.000000 1 3 3 0 4 0 21 3 3 0 2 8 5 2006 2006 1 0 10 12 2 4 2 2 3 3 2 24 5 0 1254 1278.0 0 0 1 3 1278 0 0.000000 1278 0 0 2 0 2 1 2 5 7 0 2 2 584.0 3 4 2 0.0 60 0 0.000000 0.000000 0 6 7
1229 2690 60 1 100 11478.000000 1 3 3 0 0 0 21 1 3 0 4 9 5 2006 2006 1 0 10 12 2 4 2 0 3 3 2 1836 5 0 200 2036.0 0 0 1 3 2036 604 0.000000 2640 1 0 3 1 3 1 0 11 7 1 2 3 792.0 3 4 2 0.0 265 0 0.000000 0.000000 0 6 7
1230 2691 60 1 65 13946.000000 1 3 3 0 4 0 21 3 3 0 4 6 5 2005 2005 1 0 10 12 2 4 2 2 3 3 5 0 5 0 858 858.0 0 0 1 3 858 858 0.000000 1716 0 0 2 1 3 1 2 7 7 0 2 2 615.0 3 4 2 0.0 53 0 0.000000 0.000000 0 8 6
1231 2692 20 3 74 7240.000000 1 0 3 0 4 0 20 3 3 0 2 6 5 2005 2005 1 0 10 12 3 4 2 3 3 2 2 24 5 0 1118 1142.0 0 0 1 3 1142 0 0.000000 1142 0 0 1 1 3 1 2 5 7 0 5 0 0.0 2 0 2 4.0 50 0 0.000000 0.000000 0 8 6
1232 2693 20 3 91 6113.000000 1 0 3 0 0 0 20 3 3 0 2 7 5 2005 2006 1 0 10 12 2 4 2 2 3 0 5 0 5 0 1400 1400.0 0 0 1 3 1400 0 0.000000 1400 0 0 2 0 3 1 2 6 7 0 2 2 612.0 3 4 2 144.0 55 0 0.000000 0.000000 0 6 7
1233 2694 20 3 63 9322.000000 1 3 3 0 4 0 20 6 3 0 2 6 5 2005 2006 1 0 10 12 3 4 2 2 3 3 5 0 5 0 1131 1131.0 0 0 1 3 1131 0 0.000000 1131 0 0 1 1 3 1 2 6 7 0 5 0 0.0 2 0 2 0.0 39 0 0.000000 0.000000 0 6 7
1237 2698 60 3 70 19396.000000 1 1 3 0 4 0 20 3 3 0 4 6 5 1992 1993 1 0 6 6 2 4 2 2 3 3 0 758 5 0 78 836.0 0 0 1 3 844 887 0.000000 1731 1 0 2 1 3 1 2 7 7 0 2 2 462.0 3 4 2 307.0 85 0 0.000000 153.453113 0 8 4
1238 2699 120 3 50 6493.000000 1 3 3 0 4 0 20 3 3 4 2 6 5 1990 1991 1 0 8 9 2 4 2 2 3 3 2 904 5 0 494 1398.0 0 2 1 3 1398 0 0.000000 1398 1 0 2 0 2 1 2 5 7 0 2 2 542.0 3 4 2 0.0 46 0 0.000000 0.000000 0 8 6
1239 2700 120 3 50 15346.000000 1 3 3 0 4 0 20 3 3 4 2 6 5 1991 1991 1 0 8 9 2 4 2 2 3 3 2 278 5 0 939 1217.0 0 2 1 3 1217 0 0.000000 1217 0 0 2 0 2 1 2 5 7 0 2 2 484.0 3 4 2 0.0 64 0 0.000000 0.000000 0 8 6
1240 2701 60 3 68 19534.000000 1 0 3 0 4 0 20 6 3 0 4 6 5 1994 1994 1 0 10 12 3 4 2 2 3 3 0 274 5 0 362 636.0 0 0 1 3 636 684 0.000000 1320 0 0 2 1 3 1 2 6 7 0 2 2 472.0 3 4 2 0.0 40 0 0.000000 0.000000 0 8 6
1241 2702 20 3 70 9368.000000 1 3 3 0 4 0 19 6 3 0 2 5 4 1962 1962 3 0 11 13 3 4 1 3 3 3 3 36 5 0 952 988.0 0 0 1 3 988 0 0.000000 988 1 0 1 0 3 1 3 6 7 0 6 2 624.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1242 2703 90 4 68 5583.000000 1 3 3 0 4 0 19 6 2 2 0 6 6 1977 1977 1 0 10 12 3 2 1 1 2 2 3 0 2 0 0 0.0 0 4 1 3 1286 368 0.000000 1654 0 0 2 0 4 2 3 10 7 0 2 2 528.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
1243 2704 20 3 68 7129.000000 1 0 3 0 4 0 19 3 3 0 2 5 6 1962 2002 3 0 6 6 3 4 1 3 3 3 1 612 5 0 252 864.0 0 2 1 3 1211 0 0.000000 1211 0 0 1 0 2 1 3 6 0 1 6 2 576.0 3 4 2 161.0 0 0 0.000000 0.000000 0 8 6
1244 2705 20 3 68 12766.000000 1 0 3 0 1 0 19 8 3 0 2 5 5 1965 1965 1 0 6 6 3 4 1 3 3 3 4 554 5 0 430 984.0 0 4 1 3 984 0 0.000000 984 0 0 1 0 3 1 3 5 7 0 2 1 310.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1245 2706 20 3 65 6756.000000 1 3 3 0 4 0 19 6 3 0 2 5 6 1968 1968 1 0 8 9 3 4 1 3 3 3 1 162 4 270 450 882.0 0 4 1 3 909 0 0.000000 909 0 0 1 0 3 1 3 5 7 0 2 1 294.0 3 4 2 0.0 155 0 0.000000 0.000000 0 0 6
1246 2707 20 3 68 5234.000000 1 0 3 0 4 0 19 6 3 0 2 5 6 1963 1963 1 0 6 6 3 4 2 3 3 3 0 181 5 0 744 925.0 0 2 1 3 925 0 0.000000 925 1 0 1 0 2 1 3 5 7 0 6 2 484.0 3 4 2 203.0 74 0 0.000000 0.000000 0 8 6
1248 2709 20 3 68 -1372.000000 1 0 3 0 4 0 19 3 3 0 2 5 6 1964 1964 1 0 6 6 3 4 1 3 3 3 0 644 5 0 268 912.0 0 4 0 3 912 0 0.000000 912 0 0 1 0 3 1 3 6 7 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 6
1250 2711 80 3 100 8032.000000 1 0 2 0 0 0 24 3 3 0 6 7 4 1974 1974 1 0 12 13 2 1 1 2 3 1 0 1023 1 430 228 1748.0 0 2 1 3 2151 495 0.000000 2646 1 2 2 0 3 1 2 9 5 4 2 2 550.0 3 4 2 641.0 100 0 0.000000 0.000000 800 8 6
1251 2712 60 3 105 4441.000000 1 3 1 0 4 1 15 3 3 0 4 8 5 1992 1993 1 0 6 7 2 4 2 0 3 1 2 1118 5 0 216 1334.0 0 0 1 3 1520 1306 0.000000 2826 1 0 2 1 3 1 2 9 7 3 2 3 888.0 3 4 2 177.0 208 66 0.000000 0.000000 0 8 6
1252 2713 120 1 34 7090.000000 1 3 3 0 4 0 21 3 3 4 2 7 5 2004 2004 1 0 7 8 2 4 2 2 3 3 5 0 5 0 1143 1143.0 0 0 1 3 1143 0 0.000000 1143 0 0 1 1 1 1 2 5 7 1 2 2 588.0 3 4 2 0.0 191 0 0.000000 0.000000 0 8 6
1253 2714 160 1 24 6982.000000 1 3 3 0 4 0 21 3 3 3 4 7 5 2005 2005 1 0 7 8 2 4 2 2 3 3 5 0 5 0 600 600.0 0 0 1 3 520 623 62.304757 1223 0 0 2 1 2 1 2 4 7 0 6 2 480.0 3 4 2 0.0 166 0 0.000000 0.000000 0 8 6
1254 2715 160 1 68 10449.000000 1 3 3 0 4 0 21 3 3 4 4 6 5 2000 2000 1 0 7 8 2 4 2 2 3 3 2 353 5 0 403 756.0 0 0 1 3 768 756 0.000000 1524 0 0 2 1 2 1 2 4 7 0 6 2 440.0 3 4 2 0.0 32 0 0.000000 0.000000 0 8 6
1255 2716 160 1 68 11633.000000 1 0 3 0 2 0 21 3 3 4 4 7 5 2003 2003 1 0 10 12 2 4 2 2 3 3 5 0 5 0 530 530.0 0 0 1 3 530 550 0.000000 1080 0 0 2 1 2 1 2 4 7 0 2 2 496.0 3 4 2 0.0 50 0 0.000000 0.000000 0 8 6
1256 2717 60 1 114 13862.000000 1 0 3 0 0 0 21 3 3 0 4 7 5 1997 1998 3 0 11 13 2 4 2 2 3 3 5 0 5 0 569 569.0 0 0 1 3 854 840 0.000000 1694 0 0 2 1 3 1 2 6 7 1 4 1 434.0 3 4 2 0.0 311 0 0.000000 110.000000 0 8 6
1257 2718 20 1 60 13983.000000 1 0 3 0 4 0 21 3 3 0 2 8 5 2001 2002 1 0 5 5 2 4 2 2 3 3 5 0 5 0 1568 1568.0 0 0 1 3 1568 0 0.000000 1568 0 0 2 0 3 1 2 6 7 1 2 2 564.0 3 4 2 0.0 266 0 0.000000 0.000000 0 8 6
1258 2719 190 3 79 17903.000000 1 0 3 0 0 0 14 7 1 1 2 5 6 1972 1972 1 0 8 9 3 4 1 2 3 3 2 962 5 0 191 1153.0 0 0 1 3 1193 0 0.000000 1193 1 0 2 0 2 1 3 6 7 0 2 2 501.0 3 4 2 140.0 153 0 0.000000 0.000000 0 8 6
1259 2720 20 3 78 12315.000000 1 3 3 0 4 0 14 7 3 0 2 7 6 1967 1967 3 0 6 6 3 4 1 3 3 3 1 553 3 68 713 1334.0 0 2 1 3 1334 0 0.000000 1334 1 0 2 0 3 1 3 7 7 0 2 2 477.0 3 4 2 0.0 20 35 0.000000 153.453113 0 8 6
1260 2721 20 3 80 11964.000000 1 3 3 0 0 0 12 1 3 0 2 5 5 1968 1968 1 0 7 8 3 4 1 3 3 3 0 758 5 0 293 1051.0 0 2 1 3 1051 0 0.000000 1051 1 0 1 0 3 1 3 6 7 0 2 2 504.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1261 2722 60 3 72 17207.000000 1 3 3 0 4 0 12 1 3 0 4 5 5 1968 1968 1 0 6 6 3 4 1 2 0 2 0 361 4 430 56 900.0 0 0 1 3 884 886 0.000000 1770 1 0 1 1 4 1 3 7 7 0 2 2 530.0 3 4 2 0.0 60 0 0.000000 153.453113 0 8 6
1262 2723 20 3 78 11371.000000 1 3 3 0 4 0 12 1 3 0 2 6 7 1968 2004 3 0 6 6 3 4 1 3 3 0 0 760 5 0 216 976.0 0 4 1 3 976 0 0.000000 976 1 0 1 0 2 1 2 4 7 1 2 2 504.0 3 4 2 94.0 0 0 0.000000 0.000000 0 8 1
1263 2724 85 3 70 17091.000000 1 3 3 0 4 0 12 1 3 0 5 5 6 1968 1968 1 0 6 6 3 4 1 2 3 1 2 744 5 0 89 833.0 0 2 1 3 898 0 0.000000 898 1 0 1 0 3 1 3 6 7 0 2 1 326.0 3 4 2 143.0 0 0 0.000000 0.000000 0 8 6
1265 2726 80 3 80 3790.000000 1 3 3 0 4 0 12 3 3 0 6 5 7 1967 1967 1 0 7 8 3 4 2 3 3 0 0 602 4 402 137 1141.0 0 2 1 3 1141 0 0.000000 1141 1 0 1 0 3 1 3 6 7 0 2 1 568.0 3 4 2 0.0 78 0 0.000000 0.000000 0 8 6
1266 2727 190 3 80 5820.000000 1 3 3 0 4 0 12 7 3 1 2 6 7 1965 2000 3 0 3 12 3 2 2 3 3 2 0 901 1 252 34 1187.0 0 0 1 3 1565 0 0.000000 1565 1 0 2 0 3 1 2 7 0 2 2 1 299.0 3 4 2 200.0 25 66 0.000000 0.000000 0 8 1
1267 2728 20 3 68 -177.000000 1 0 3 0 1 0 12 3 3 0 2 6 6 1964 1964 3 0 6 6 3 4 1 3 3 3 0 260 3 430 0 1008.0 0 0 1 3 1488 0 0.000000 1488 1 0 1 1 3 1 3 7 7 1 2 2 430.0 3 4 2 154.0 60 0 0.000000 0.000000 0 8 6
1268 2729 60 3 85 13346.000000 1 3 3 0 4 0 12 3 3 0 4 5 6 1964 1964 1 0 6 6 3 4 1 3 3 3 0 360 5 0 360 720.0 0 2 1 3 720 720 0.000000 1440 0 0 1 1 4 1 3 7 7 1 2 2 480.0 3 4 2 0.0 32 66 0.000000 0.000000 0 8 6
1269 2730 20 3 80 15119.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1960 1960 3 0 11 13 3 4 1 3 3 3 0 632 5 0 616 1248.0 0 0 1 3 1248 0 0.000000 1248 1 0 1 0 3 1 3 6 7 0 2 1 286.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1270 2731 30 3 60 6003.000000 1 3 3 0 4 0 12 3 3 0 2 6 8 1934 1950 1 0 7 8 3 4 1 3 3 3 1 574 5 0 242 816.0 0 0 1 3 816 0 0.000000 816 1 0 1 0 2 1 3 4 7 1 2 1 240.0 3 4 2 228.0 0 40 0.000000 0.000000 0 8 6
1271 2732 20 3 68 6935.000000 1 3 3 0 4 0 12 3 3 0 2 5 7 1947 1950 3 0 3 3 3 4 1 3 3 3 5 0 5 0 938 938.0 0 0 1 3 1043 0 0.000000 1043 0 0 1 0 2 1 3 5 7 1 6 1 273.0 3 4 2 125.0 48 0 0.000000 0.000000 0 8 6
1272 2733 20 3 80 13063.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1961 1990 1 0 12 14 3 4 1 3 3 2 1 915 5 0 336 1251.0 0 4 1 3 1433 0 0.000000 1433 1 0 1 0 3 1 3 7 0 1 2 2 441.0 3 4 2 144.0 0 66 0.000000 0.000000 0 8 6
1273 2734 20 3 89 7555.000000 1 3 3 0 0 0 12 1 3 0 2 5 6 1952 1952 1 0 11 9 3 2 1 3 3 2 3 40 5 0 1404 1444.0 0 0 1 3 1624 0 0.000000 1624 1 0 1 0 2 1 3 6 0 1 2 1 240.0 3 4 2 0.0 40 66 0.000000 0.000000 0 8 7
1274 2735 20 3 80 10924.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1951 1951 1 0 6 6 3 4 1 3 3 3 0 996 5 0 60 1056.0 0 0 1 0 1216 0 0.000000 1216 1 0 1 0 3 1 3 7 7 0 2 1 280.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1275 2736 60 3 79 11995.000000 1 3 3 0 4 0 12 3 3 0 4 5 6 1949 1973 1 0 11 13 3 4 1 3 3 3 5 0 5 0 704 704.0 0 2 1 0 1024 704 0.000000 1728 0 0 1 1 3 1 3 7 0 1 2 1 234.0 3 4 2 245.0 60 0 0.000000 0.000000 0 8 6
1276 2737 20 3 82 8355.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1954 1975 1 0 7 8 3 2 1 3 3 3 1 486 5 0 450 936.0 0 4 1 0 936 0 0.000000 936 0 0 1 0 2 1 3 5 7 0 2 1 240.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
1277 2738 90 3 68 7518.000000 1 0 3 0 4 0 12 3 3 2 2 5 5 1967 1967 1 0 8 9 3 4 1 3 3 3 5 0 5 0 1584 1584.0 0 4 1 3 1584 0 0.000000 1584 0 0 2 0 4 2 3 8 7 0 6 2 506.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1279 2740 20 3 109 17363.000000 1 0 3 0 0 0 12 3 3 0 2 6 7 1963 1963 3 0 7 8 3 4 1 3 3 3 5 0 5 0 1008 1008.0 0 4 1 3 1008 0 0.000000 1008 0 0 1 0 2 1 3 5 7 0 2 2 430.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1280 2741 20 3 70 5355.000000 1 3 3 0 0 0 12 1 3 0 2 5 5 1957 1957 1 0 3 3 3 4 1 1 3 2 1 623 5 0 556 1179.0 0 2 1 3 1364 0 0.000000 1364 0 0 1 1 3 1 3 6 7 1 2 1 331.0 3 4 2 0.0 60 0 0.000000 0.000000 0 8 6
1281 2742 20 3 68 3039.000000 1 0 3 0 0 0 12 1 3 0 2 6 6 1958 1958 3 0 11 13 3 4 1 3 3 3 4 203 5 0 918 1121.0 0 0 1 0 1336 0 0.000000 1336 0 0 1 1 3 1 3 7 7 1 2 2 488.0 3 4 2 80.0 0 0 0.000000 0.000000 0 8 6
1282 2743 80 3 125 16479.000000 1 3 3 0 0 0 12 3 3 0 6 5 6 1956 1956 3 0 11 13 3 4 1 3 3 0 1 678 4 281 99 1058.0 0 0 1 3 1370 0 0.000000 1370 1 0 1 0 3 1 3 6 7 1 3 1 300.0 3 4 2 191.0 0 0 0.000000 120.000000 0 8 6
1283 2744 20 3 72 2019.000000 1 3 3 0 4 0 12 3 3 0 2 6 6 1956 1994 1 0 11 13 3 4 1 3 3 0 1 914 5 0 210 1124.0 0 0 1 3 1124 0 0.000000 1124 1 0 1 0 3 1 3 6 7 1 2 1 353.0 3 4 2 0.0 211 66 0.000000 142.000000 0 8 6
1284 2745 20 3 70 11755.000000 1 3 3 0 4 0 12 3 3 0 2 6 8 1954 2000 3 0 11 13 3 2 1 3 3 3 0 824 5 0 226 1050.0 0 0 1 3 1050 0 0.000000 1050 1 0 1 0 3 1 2 6 7 0 2 1 286.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 1
1285 2746 20 3 66 10441.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1952 2003 1 0 7 8 3 4 1 3 3 3 2 658 5 0 350 1008.0 0 0 1 0 1008 0 0.000000 1008 1 0 1 0 2 1 3 4 7 0 2 1 280.0 3 4 2 0.0 154 0 0.000000 0.000000 0 8 6
1286 2747 20 3 75 10770.000000 1 3 3 0 0 0 12 3 3 0 2 6 6 1951 1951 3 0 11 13 3 4 1 3 3 3 5 0 5 0 216 216.0 0 4 1 3 1575 0 0.000000 1575 0 0 1 1 2 1 2 5 7 1 2 2 400.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1287 2748 80 3 55 17338.000000 1 3 3 0 4 0 12 3 3 0 6 5 7 1956 1956 1 0 10 12 3 4 1 2 3 3 1 271 5 0 30 301.0 0 0 1 0 1145 0 0.000000 1145 0 0 1 0 3 1 3 6 1 0 6 2 684.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1288 2749 20 3 65 16107.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1956 1956 3 0 11 13 3 4 1 3 3 3 3 488 5 0 517 1005.0 0 0 1 3 1005 0 0.000000 1005 0 0 1 0 2 1 3 6 7 1 2 1 319.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
1289 2750 20 3 80 6024.000000 1 3 0 0 4 0 12 3 3 0 2 5 6 1955 1955 1 0 6 6 3 4 1 3 3 3 4 144 1 430 0 1056.0 0 2 1 3 1056 0 0.000000 1056 1 0 1 1 3 1 3 6 7 0 2 1 300.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1290 2751 20 3 85 10539.000000 1 3 3 0 4 0 12 3 3 0 2 5 6 1951 1991 3 0 7 8 3 4 1 3 3 3 4 741 5 0 143 884.0 0 0 1 3 884 0 0.000000 884 1 0 1 0 2 1 3 4 7 0 2 1 270.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
1291 2752 30 3 118 9151.000000 1 3 3 0 4 0 12 3 3 0 2 7 5 1941 1963 3 2 3 3 2 4 1 3 3 3 5 0 5 0 929 929.0 0 0 1 3 2039 0 0.000000 2039 1 0 1 1 3 1 3 7 0 3 1 3 791.0 3 4 2 0.0 0 66 0.000000 0.000000 0 0 1
1292 2753 20 3 70 8730.000000 1 3 3 0 4 0 12 3 3 0 2 5 5 1956 2001 3 0 11 12 3 4 1 3 3 3 4 494 5 0 521 1015.0 0 2 1 3 1384 0 0.000000 1384 1 0 1 0 2 1 3 6 0 0 2 2 896.0 3 4 2 75.0 0 0 37.972624 0.000000 0 8 6
1293 2754 190 3 94 9489.000000 1 3 3 0 4 0 17 0 3 1 0 5 5 1925 1975 1 0 7 8 3 1 1 3 3 2 2 1018 5 0 1153 2171.0 0 4 1 3 1392 1248 0.000000 2640 2 0 2 1 5 1 3 10 3 1 2 3 1008.0 3 4 0 631.0 48 66 0.000000 0.000000 0 8 6
1294 2755 50 3 50 14981.000000 1 3 3 0 4 0 12 3 3 0 0 6 6 1947 1950 1 0 10 12 3 4 1 3 3 3 5 0 5 0 784 784.0 0 0 1 0 900 412 0.000000 1312 0 0 1 1 3 1 3 6 7 0 6 2 649.0 3 4 2 0.0 28 0 0.000000 0.000000 0 8 6
1295 2756 30 3 60 10191.000000 1 3 3 0 4 0 17 3 3 0 2 3 8 1930 2001 1 0 10 12 3 2 2 3 3 3 5 0 5 0 713 713.0 0 0 1 3 713 0 0.000000 713 0 0 1 0 2 1 2 5 7 0 6 1 371.0 0 1 0 0.0 75 66 0.000000 0.000000 0 8 6
1296 2757 30 3 60 8853.000000 1 3 3 0 4 0 12 0 3 0 2 3 3 1929 1950 3 0 11 13 3 1 1 3 3 2 5 0 5 0 715 715.0 0 1 0 2 715 0 0.000000 715 0 0 1 0 2 1 3 4 7 0 6 2 660.0 0 4 0 0.0 0 66 0.000000 112.000000 0 8 6
1297 2758 50 3 60 7052.000000 1 3 3 0 0 0 17 3 3 0 0 4 8 1900 1998 1 0 7 8 3 2 0 1 0 3 5 0 5 0 448 448.0 0 0 1 3 448 272 0.000000 720 0 0 1 0 1 1 1 5 7 0 2 1 280.0 0 4 2 0.0 0 66 0.000000 0.000000 0 8 6
1298 2759 70 3 60 13908.000000 1 3 3 0 4 0 17 3 3 0 4 6 8 1915 1950 1 0 7 8 3 0 1 3 3 3 4 338 5 0 325 663.0 0 0 1 3 774 821 0.000000 1595 0 0 2 0 3 1 3 7 7 1 6 2 528.0 3 4 2 49.0 0 66 0.000000 0.000000 0 8 6
1299 2760 50 3 60 9960.000000 1 3 3 0 4 0 17 3 3 0 0 4 4 1910 1950 1 0 10 12 3 4 0 1 3 3 5 0 5 0 1077 1077.0 0 4 1 0 981 779 0.000000 1760 0 0 1 1 4 1 3 7 7 1 6 2 648.0 0 4 2 120.0 0 66 0.000000 0.000000 0 0 1
1300 2761 80 3 83 17682.000000 1 3 3 0 4 0 12 3 3 0 6 6 5 1963 1963 1 0 6 6 3 4 1 3 3 0 0 580 5 0 503 1083.0 0 4 1 3 1146 0 0.000000 1146 0 1 1 0 3 1 3 6 7 1 2 1 294.0 3 4 2 345.0 75 0 0.000000 0.000000 0 8 6
1301 2762 20 3 77 10573.000000 1 3 3 0 4 0 12 3 3 0 2 6 5 1962 1985 1 0 6 6 3 4 1 3 3 3 0 701 5 0 434 1135.0 0 0 1 3 1207 0 0.000000 1207 0 0 1 1 3 1 3 6 7 0 2 1 264.0 3 4 2 0.0 240 0 0.000000 0.000000 0 8 6
1302 2763 20 3 80 14033.000000 1 3 3 0 4 0 12 4 3 0 2 6 6 1961 1992 1 0 6 6 3 4 1 3 3 3 4 913 5 0 400 1313.0 0 4 1 3 1773 0 0.000000 1773 1 0 2 0 3 1 3 6 1 2 2 2 418.0 3 4 2 355.0 98 0 0.000000 144.000000 0 8 6
1303 2764 20 3 86 7552.000000 1 3 3 0 0 0 12 4 3 0 2 7 5 1959 1959 3 0 8 9 3 4 4 1 2 2 3 0 2 0 0 0.0 0 2 1 0 1472 0 0.000000 1472 0 0 2 0 2 1 2 5 7 1 2 2 484.0 3 4 2 0.0 68 0 0.000000 153.453113 0 8 6
1304 2765 60 3 68 7969.000000 1 0 1 0 4 0 12 3 3 0 4 7 8 1962 1998 1 0 8 9 3 4 1 3 3 1 0 636 5 0 802 1438.0 0 4 1 3 1900 548 0.000000 2448 1 0 3 0 3 1 3 9 7 2 2 2 441.0 3 4 2 520.0 102 0 0.000000 0.000000 0 8 6
1305 2766 50 3 60 8607.000000 1 3 3 0 4 0 12 3 3 0 0 4 6 1950 1950 1 0 2 13 3 4 1 3 3 3 4 455 5 0 455 910.0 0 2 1 3 910 611 0.000000 1521 0 0 1 1 3 1 2 6 1 0 6 1 597.0 0 4 2 199.0 0 66 0.000000 0.000000 0 8 6
1306 2767 90 3 60 18394.000000 1 3 3 0 0 0 12 3 3 2 2 3 4 1950 1950 1 0 3 10 3 4 4 1 2 2 3 0 2 0 0 0.0 3 1 0 1 1040 0 0.000000 1040 0 0 2 0 2 2 3 6 7 0 6 2 400.0 3 1 2 0.0 0 0 0.000000 0.000000 0 8 6
1307 2768 90 3 75 9225.000000 1 3 3 0 0 0 12 3 3 2 2 5 5 1960 1960 3 0 3 3 3 4 1 3 0 3 5 0 5 0 1556 1556.0 0 4 1 3 1556 0 0.000000 1556 0 0 2 0 4 2 3 8 7 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 6
1308 2769 20 3 70 10166.000000 1 3 3 0 4 0 12 3 3 0 2 5 4 1961 1961 3 0 3 3 3 4 1 3 3 3 2 781 5 0 369 1150.0 0 4 1 3 1150 0 0.000000 1150 0 0 1 0 3 1 3 6 7 0 2 1 288.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
1309 2770 20 3 74 6620.000000 1 3 3 0 0 0 12 0 3 0 2 7 6 1962 1962 1 0 11 13 3 4 1 3 3 3 3 809 5 0 236 1045.0 0 2 1 3 1045 0 0.000000 1045 1 0 1 0 3 1 3 6 7 0 6 2 528.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1310 2771 20 3 70 5923.000000 1 3 3 0 4 0 12 0 3 0 2 5 6 1962 1962 1 0 11 13 3 4 1 3 3 3 1 468 5 0 396 864.0 0 2 1 3 864 0 0.000000 864 0 1 1 0 3 1 3 5 7 0 2 1 336.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1311 2772 190 3 70 6316.000000 1 3 3 0 4 0 12 0 3 1 5 5 5 1962 1962 1 0 7 8 3 4 1 3 3 0 0 953 5 0 72 1025.0 0 4 1 3 1025 0 0.000000 1025 1 0 1 0 3 1 3 6 7 0 5 0 0.0 2 0 2 96.0 80 0 0.000000 0.000000 0 8 6
1312 2773 70 4 62 759.000000 1 3 3 0 0 0 17 2 2 0 4 5 8 1900 2005 3 0 5 5 2 2 2 1 3 3 5 0 5 0 716 716.0 0 0 1 0 1007 1007 0.000000 2014 0 0 2 0 5 1 3 8 7 0 6 2 624.0 3 4 2 0.0 72 66 0.000000 0.000000 0 8 5
1313 2774 50 4 60 18432.000000 1 3 3 0 4 0 17 2 2 0 0 5 6 1948 1950 1 0 7 8 3 4 1 3 3 3 4 276 5 0 936 1212.0 0 2 1 0 1226 442 0.000000 1668 1 0 1 0 3 1 3 6 7 0 6 1 240.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 5
1314 2775 50 4 60 10929.000000 1 3 3 0 0 0 17 2 2 0 0 4 6 1920 1980 1 0 11 13 3 4 2 3 0 3 3 284 5 0 863 1147.0 0 4 0 3 1147 510 0.000000 1657 0 0 1 0 4 1 1 9 7 1 6 1 162.0 0 1 0 0.0 0 0 0.000000 0.000000 0 8 5
1315 2776 50 4 60 3939.000000 1 3 3 0 4 0 17 2 2 0 0 6 8 1900 2004 1 0 11 13 3 4 0 3 3 3 4 381 5 0 399 780.0 0 0 1 3 940 476 0.000000 1416 0 1 1 0 3 1 2 7 7 0 6 2 400.0 3 4 2 0.0 24 0 0.000000 0.000000 0 8 5
1316 2777 70 4 58 15267.000000 1 3 3 0 4 0 17 2 2 0 4 7 7 1900 1970 1 0 0 13 3 4 3 3 3 3 4 208 5 0 504 712.0 0 2 1 3 848 580 0.000000 1428 1 0 1 0 4 1 3 7 7 0 6 2 576.0 3 4 2 264.0 0 66 0.000000 0.000000 0 8 5
1317 2778 70 4 66 4289.000000 1 3 3 0 4 0 17 2 2 0 4 7 8 1930 1950 1 0 11 13 3 4 0 3 3 3 5 0 5 0 502 502.0 0 4 0 3 502 502 0.000000 1004 0 0 1 0 2 1 2 5 7 1 6 1 200.0 0 4 0 280.0 0 66 0.000000 0.000000 0 8 5
1318 2779 190 4 56 4381.000000 1 3 3 0 4 0 17 2 2 1 0 4 6 1900 1950 1 0 7 8 2 4 2 3 3 3 5 0 5 0 938 938.0 0 2 0 3 1084 867 0.000000 1951 0 0 2 0 4 2 1 9 7 0 6 2 576.0 3 4 1 0.0 6 28 0.000000 0.000000 0 8 5
1319 2780 30 4 56 9899.000000 1 3 3 0 4 0 17 2 2 0 2 6 5 1924 1950 1 0 7 8 3 4 0 3 0 3 1 143 4 72 817 1032.0 0 2 0 0 1032 0 0.000000 1032 0 0 1 0 2 1 3 5 7 0 6 1 280.0 3 4 2 0.0 0 66 0.000000 0.000000 0 0 0
1320 2781 30 4 50 17853.000000 1 3 3 0 4 0 17 2 2 0 2 5 7 1925 1950 1 0 7 11 3 4 0 3 0 3 5 0 5 0 844 844.0 0 4 1 3 844 0 0.000000 844 0 0 1 0 2 1 3 5 7 0 6 1 216.0 3 4 0 50.0 81 66 0.000000 0.000000 0 8 5
1321 2782 20 4 60 1758.000000 1 3 3 0 4 0 17 2 2 0 2 4 5 1950 1950 1 0 7 8 3 4 1 3 3 3 5 0 5 0 576 576.0 0 0 1 3 864 0 0.000000 864 0 0 1 0 2 1 3 5 7 0 6 1 528.0 3 4 2 0.0 0 0 0.000000 115.000000 0 0 5
1322 2783 70 4 42 7305.000000 1 3 3 0 4 1 17 2 2 0 4 3 5 1905 1950 1 0 7 8 3 4 0 3 0 2 5 0 5 0 738 738.0 0 2 1 0 714 662 0.000000 1376 0 0 1 0 2 1 3 7 7 0 6 1 216.0 3 4 0 0.0 0 66 0.000000 153.453113 0 8 5
1323 2784 190 4 50 18749.000000 1 3 3 0 4 0 17 2 2 1 2 5 7 1955 1955 3 0 11 13 3 4 1 3 3 0 2 576 5 0 384 960.0 0 4 1 0 960 0 0.000000 960 1 0 1 0 3 1 3 5 7 0 6 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
1324 2785 50 4 50 21228.000000 1 3 3 0 4 0 17 2 2 0 0 5 7 1924 1950 1 0 7 8 3 2 2 3 3 3 5 0 5 0 816 816.0 0 0 1 3 816 750 0.000000 1566 0 0 1 1 5 1 2 7 7 0 6 2 450.0 3 4 2 24.0 0 66 0.000000 0.000000 0 8 5
1325 2786 30 4 52 14520.000000 1 3 3 0 4 0 17 2 2 0 2 3 5 1921 1950 1 0 0 0 3 4 0 1 3 3 3 416 5 0 76 492.0 0 4 1 3 492 0 0.000000 492 1 0 1 0 1 1 3 3 7 0 6 1 200.0 0 4 0 0.0 0 66 0.000000 0.000000 0 8 5
1326 2787 50 4 56 8333.000000 1 3 3 0 4 0 17 2 2 0 0 6 7 1945 1950 1 0 10 12 3 4 1 1 3 3 4 310 5 0 460 770.0 0 4 1 3 885 297 0.000000 1182 0 0 1 1 3 1 3 5 7 0 6 1 378.0 0 4 2 0.0 0 0 0.000000 0.000000 0 8 5
1327 2788 30 4 48 10060.000000 1 3 3 0 4 0 17 2 2 0 2 3 4 1920 1950 1 0 11 13 3 4 2 3 3 3 5 0 5 0 798 798.0 0 2 1 3 840 0 0.000000 840 0 0 1 0 2 1 1 5 7 0 6 1 250.0 3 1 0 112.0 0 0 0.000000 0.000000 0 8 5
1328 2789 75 4 70 11593.000000 1 3 3 0 0 0 17 2 2 0 3 7 6 1910 2005 1 0 11 13 3 4 0 3 3 3 5 0 5 0 1226 1226.0 0 0 1 3 1226 878 0.000000 2104 0 0 2 0 5 1 3 9 7 0 6 2 432.0 0 4 1 0.0 311 66 0.000000 0.000000 0 8 5
1329 2790 90 4 33 11360.000000 1 3 3 0 4 0 17 2 2 2 4 5 7 1920 1950 3 0 11 13 3 4 2 3 3 3 5 0 5 0 624 624.0 0 2 0 0 624 624 0.000000 1248 0 0 2 0 2 2 3 8 7 0 5 0 0.0 2 0 0 0.0 130 66 0.000000 0.000000 0 8 5
1330 2791 20 4 65 18517.000000 1 3 3 0 4 0 17 2 2 0 2 5 5 1958 1958 3 0 6 6 3 4 1 3 3 3 5 0 5 0 960 960.0 0 0 1 3 960 0 0.000000 960 0 0 1 0 3 1 3 5 7 0 6 2 624.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
1331 2792 50 0 63 10368.000000 1 3 3 0 0 0 9 3 3 0 1 3 3 1918 1950 1 0 11 13 1 1 0 3 0 3 5 0 5 0 1020 1020.0 0 1 0 2 1020 0 0.000000 1020 0 0 1 0 2 1 1 5 7 0 5 0 0.0 2 0 0 0.0 0 66 0.000000 0.000000 0 3 6
1332 2793 70 3 69 15659.000000 1 0 0 0 4 0 3 3 3 0 4 6 7 1924 1996 2 0 2 11 3 4 0 3 3 3 5 0 5 0 848 848.0 1 4 0 3 1017 810 0.000000 1827 0 0 1 0 2 1 3 9 7 1 6 1 240.0 0 4 2 27.0 36 42 0.000000 0.000000 0 8 6
1333 2794 50 4 51 13064.000000 1 3 3 0 4 0 3 2 2 0 0 3 5 1930 1950 1 0 0 0 2 4 1 3 3 3 4 347 5 0 381 728.0 0 0 1 3 728 434 0.000000 1162 1 0 1 0 3 1 3 6 7 0 6 1 258.0 0 3 2 0.0 24 0 0.000000 0.000000 0 4 0
1334 2795 50 4 51 5183.000000 1 3 3 0 4 0 3 2 2 0 0 5 7 1930 1984 1 0 7 8 3 2 0 3 3 3 5 0 5 0 741 741.0 0 2 1 3 741 583 0.000000 1324 0 0 1 0 3 1 2 7 7 0 6 1 180.0 0 4 2 0.0 0 55 0.000000 0.000000 0 8 5
1335 2796 30 3 50 14297.000000 1 1 3 0 4 0 3 3 3 0 2 5 5 1925 1950 1 0 7 8 3 4 0 3 3 3 5 0 5 0 816 816.0 0 4 1 0 816 0 0.000000 816 0 0 1 0 2 1 3 4 7 0 6 1 210.0 0 1 0 168.0 0 66 0.000000 0.000000 0 8 6
1336 2797 50 4 90 4283.000000 1 2 3 0 4 0 17 7 1 0 0 6 5 1962 1962 1 0 3 13 3 4 1 3 3 3 5 0 5 0 1595 1595.0 0 4 1 3 1611 875 0.000000 2486 0 0 2 0 5 1 3 8 7 1 6 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 5
1337 2798 50 4 60 6570.000000 1 3 3 0 4 0 9 2 2 0 0 4 5 1924 1950 1 0 7 8 3 4 0 3 0 3 5 0 5 0 596 596.0 0 3 1 1 834 596 0.000000 1430 0 0 2 0 3 1 1 7 7 0 6 2 370.0 0 1 2 218.0 0 0 0.000000 153.453113 0 8 0
1338 2799 70 4 60 10981.000000 1 3 3 0 3 0 9 2 2 0 4 5 8 1910 2004 1 0 0 9 1 2 0 1 0 3 5 0 5 0 396 396.0 0 2 1 3 665 665 0.000000 1330 0 0 1 0 3 1 3 7 7 0 6 1 390.0 3 4 0 0.0 72 45 0.000000 0.000000 0 8 5
1339 2800 30 4 50 8945.000000 1 3 3 0 4 0 9 2 2 0 2 5 4 1919 1950 1 0 11 13 3 4 0 3 3 3 5 0 5 0 610 610.0 0 0 0 0 819 0 0.000000 819 0 0 1 0 2 1 2 4 7 0 5 0 0.0 2 0 0 0.0 0 0 0.000000 0.000000 0 8 0
1340 2801 30 4 60 9719.000000 1 3 3 0 0 0 9 2 2 0 2 6 6 1930 1950 1 0 10 12 3 4 0 3 3 3 3 343 5 0 641 984.0 0 4 1 1 984 0 0.000000 984 0 0 1 0 3 1 3 6 7 0 6 1 308.0 3 4 0 0.0 0 66 0.000000 0.000000 0 4 4
1341 2802 50 3 82 10277.000000 1 3 3 0 4 0 19 1 3 0 0 5 5 1951 1951 1 0 6 6 3 1 1 3 3 3 1 329 5 0 477 806.0 0 4 1 3 1081 341 0.000000 1422 1 0 1 0 3 1 3 7 7 1 6 1 288.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1342 2803 90 3 120 14818.000000 1 3 3 0 0 0 19 1 1 2 2 6 5 1964 1964 1 0 3 3 3 4 1 3 3 3 5 0 5 0 1921 1921.0 0 4 1 3 1921 0 0.000000 1921 0 0 2 0 4 2 3 8 7 0 6 2 576.0 3 4 2 0.0 180 0 0.000000 0.000000 0 8 6
1343 2804 20 3 100 12195.000000 1 3 3 0 2 0 19 3 3 0 2 5 5 1950 1950 1 0 11 8 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 1 0 1640 0 0.000000 1640 0 0 1 0 3 1 3 7 0 1 2 2 394.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
1344 2805 30 3 55 6830.000000 1 3 3 0 4 0 7 3 3 0 2 5 7 1935 1950 1 0 11 13 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 0 3 1032 0 0.000000 1032 0 0 1 0 2 1 3 6 7 1 6 1 260.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
1345 2806 30 3 50 7961.000000 1 0 3 0 4 0 18 3 3 0 2 5 3 1936 1950 1 0 11 14 3 4 0 3 3 3 5 0 5 0 830 830.0 0 2 1 3 879 0 0.000000 879 0 0 1 0 2 1 3 4 7 0 6 1 180.0 3 4 1 0.0 108 0 0.000000 0.000000 0 8 6
1346 2807 20 3 50 13314.000000 1 3 3 0 4 0 18 3 3 0 2 7 5 2004 2004 5 0 10 12 3 4 2 2 1 2 2 510 3 373 190 1073.0 0 0 1 3 1073 0 0.000000 1073 1 0 2 0 2 1 3 4 7 0 6 1 246.0 3 4 2 0.0 120 0 0.000000 0.000000 0 8 6
1347 2808 20 3 68 19167.000000 1 0 3 0 4 0 19 3 3 0 2 5 6 1967 1967 3 0 6 6 3 4 1 3 3 0 0 779 5 0 285 1064.0 0 4 1 3 1064 0 0.000000 1064 0 1 1 0 3 1 3 6 7 1 2 2 528.0 3 4 2 314.0 48 0 0.000000 0.000000 0 8 6
1348 2809 80 3 80 16606.000000 1 0 3 0 0 0 19 3 3 0 6 6 7 1964 1964 1 0 6 9 3 2 1 3 3 0 2 456 5 0 456 912.0 0 4 1 3 934 0 0.000000 934 0 1 1 0 2 1 3 4 7 0 2 1 336.0 3 4 2 77.0 0 0 0.000000 0.000000 0 8 6
1349 2810 20 3 75 7094.000000 1 3 3 0 0 0 19 3 3 0 2 5 6 1966 1966 1 0 8 9 3 4 1 3 3 3 0 773 5 0 286 1059.0 0 2 1 3 1059 0 0.000000 1059 1 0 1 0 3 1 3 6 7 0 2 1 286.0 3 4 2 0.0 88 0 0.000000 0.000000 0 8 1
1350 2811 20 3 68 2937.000000 1 0 3 0 4 0 19 3 3 0 2 5 5 1967 1967 1 0 6 6 3 4 1 3 3 3 1 194 3 430 0 1176.0 0 4 1 3 1458 0 0.000000 1458 1 0 1 1 3 1 3 7 7 1 2 2 512.0 3 4 2 284.0 0 0 0.000000 0.000000 0 8 6
1351 2812 80 3 68 11944.000000 1 0 3 0 1 0 19 3 3 0 6 6 6 1978 1978 1 0 6 6 3 4 1 3 1 1 2 794 5 0 166 960.0 0 1 1 3 1040 0 0.000000 1040 1 0 1 0 3 1 3 6 7 1 6 2 616.0 3 4 2 131.0 0 0 0.000000 153.453113 0 8 6
1352 2813 90 3 68 9980.000000 1 0 3 0 4 0 19 3 3 2 2 5 4 1977 1977 1 0 8 9 3 4 1 2 3 3 5 0 5 0 1958 1967.0 0 4 1 3 1967 0 0.000000 1967 0 0 2 0 6 2 3 10 7 0 2 2 580.0 3 4 2 170.0 0 0 0.000000 0.000000 0 8 6
1353 2814 90 3 75 11740.000000 1 3 3 0 4 0 19 3 3 2 2 5 4 1977 1977 1 0 8 9 3 4 1 3 3 3 4 483 5 0 1466 1949.0 0 4 1 3 1949 0 0.000000 1949 0 0 2 0 6 2 3 10 7 0 2 2 586.0 3 4 2 32.0 0 0 0.000000 0.000000 0 8 6
1354 2815 30 3 68 5048.000000 1 3 3 0 4 0 19 3 3 0 2 5 5 1924 1950 1 0 3 13 3 4 0 3 3 3 5 0 5 0 872 872.0 0 1 0 1 872 0 0.000000 872 0 0 1 0 2 1 1 5 5 1 6 1 322.0 0 1 0 0.0 0 66 0.000000 0.000000 0 8 6
1355 2816 20 3 68 7159.000000 1 3 2 0 4 1 4 3 3 0 2 7 6 1967 1967 1 1 8 9 3 4 1 2 3 0 4 810 0 430 229 1865.0 0 4 1 3 1830 0 0.000000 1830 1 0 1 0 2 1 3 6 7 2 2 2 521.0 3 4 2 0.0 115 66 0.000000 0.000000 0 8 6
1356 2817 20 3 87 17320.000000 1 3 2 0 4 1 4 3 3 0 2 5 6 1963 1963 0 1 12 14 3 4 1 2 3 0 4 104 0 430 46 1000.0 0 0 1 3 1000 0 0.000000 1000 1 0 1 0 1 1 3 4 7 2 2 2 575.0 3 4 2 238.0 0 66 0.000000 0.000000 0 8 6
1357 2818 85 3 72 3669.000000 1 3 3 0 0 0 19 1 3 0 5 5 7 1971 1972 1 0 6 6 3 4 2 2 3 0 2 535 4 159 88 782.0 0 0 1 3 810 0 0.000000 810 1 0 1 0 2 1 3 4 7 0 6 2 576.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1358 2819 150 3 68 14126.000000 1 3 1 0 4 0 4 3 3 3 0 7 5 1980 1981 1 0 10 12 2 4 2 2 3 2 2 397 5 0 33 430.0 0 4 1 3 880 680 62.304757 1700 1 0 2 1 2 1 2 7 7 0 3 1 450.0 1 4 2 188.0 36 0 0.000000 153.453113 0 8 6
1359 2820 20 3 75 4804.000000 1 3 3 0 0 0 7 3 3 0 2 4 5 1954 1954 1 0 7 8 3 2 1 3 3 3 4 799 5 0 168 967.0 0 0 1 3 1350 0 0.000000 1350 0 0 1 1 3 1 3 6 7 1 2 2 504.0 3 4 2 237.0 0 0 0.000000 0.000000 0 8 6
1360 2821 50 3 62 9487.000000 1 3 3 0 4 0 7 3 3 0 0 5 5 1942 1950 1 0 3 13 3 4 0 3 3 3 3 230 5 0 569 799.0 0 0 0 0 799 351 0.000000 1150 0 0 1 0 3 1 3 6 5 2 4 1 215.0 3 4 2 264.0 0 0 0.000000 0.000000 0 8 4
1361 2822 70 3 114 6029.000000 1 3 3 0 0 0 7 3 3 0 4 6 7 1928 1950 1 0 12 9 3 4 2 3 3 3 5 0 5 0 672 672.0 0 0 1 3 1337 672 0.000000 2009 0 0 2 0 4 1 3 8 7 2 0 3 795.0 3 4 1 0.0 42 0 0.000000 153.453113 0 8 6
1362 2823 75 3 60 7049.000000 1 3 3 0 4 0 7 3 3 0 3 6 8 1935 1990 1 0 3 13 3 4 0 3 3 3 4 425 5 0 1411 1836.0 0 2 1 3 1836 1703 0.000000 3572 0 0 3 1 5 1 2 7 7 2 6 2 836.0 3 4 2 684.0 80 32 0.000000 0.000000 0 8 6
1363 2824 80 3 78 9753.000000 1 0 3 0 4 0 7 3 3 0 6 5 5 1962 1962 1 0 8 9 3 4 1 3 3 1 0 612 4 430 0 1776.0 0 0 1 3 1560 0 0.000000 1560 0 1 2 0 3 1 3 6 1 1 2 2 528.0 3 4 2 453.0 253 66 0.000000 0.000000 0 8 6
1364 2825 20 3 80 13492.000000 1 3 3 0 4 0 7 3 3 0 2 5 6 1952 2002 1 0 11 13 3 4 4 1 2 2 3 0 2 0 0 0.0 0 2 1 3 1488 0 0.000000 1488 0 0 1 0 3 1 3 7 7 1 2 2 569.0 3 4 2 0.0 189 36 0.000000 153.453113 0 8 6
1365 2826 20 3 70 12617.000000 1 3 3 0 4 0 7 3 3 0 2 5 8 1955 1999 3 0 7 8 3 4 1 3 3 2 5 0 5 0 1057 1057.0 0 2 1 3 1057 0 0.000000 1057 0 1 1 0 3 1 2 6 7 0 2 1 288.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1366 2827 50 3 75 -2674.000000 1 3 3 0 4 0 7 3 3 0 0 6 5 1953 1953 1 0 7 8 3 4 1 3 3 3 3 468 5 0 532 1000.0 0 4 1 3 1068 541 0.000000 1609 0 0 1 1 5 1 3 7 7 0 2 1 305.0 0 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1367 2828 60 3 88 3183.000000 1 0 0 0 4 0 20 3 3 0 4 6 4 1989 1989 1 0 6 6 2 4 1 2 3 3 0 549 5 0 319 868.0 0 0 1 3 1313 1246 0.000000 2559 0 0 2 1 4 1 0 9 7 1 2 2 506.0 3 4 2 0.0 245 0 0.000000 153.453113 0 8 1
1368 2829 90 3 73 12327.000000 1 3 3 0 4 0 20 3 3 2 5 6 8 1993 1993 1 0 6 6 2 2 2 2 3 0 3 261 2 430 0 1344.0 0 2 1 3 1440 0 0.000000 1440 2 0 2 0 2 2 2 8 7 0 2 4 920.0 3 4 2 288.0 0 0 0.000000 0.000000 0 8 6
1369 2830 60 3 133 11486.000000 1 1 3 0 4 0 5 3 3 0 4 7 5 2005 2006 1 0 10 12 2 4 2 2 3 3 5 132 5 0 1308 1308.0 0 0 1 3 1308 568 0.000000 1876 0 0 2 1 3 1 2 7 7 0 4 3 848.0 3 4 2 0.0 40 0 0.000000 0.000000 0 6 7
1370 2831 20 3 64 7717.000000 1 0 3 0 4 0 5 3 3 0 2 7 5 2005 2005 1 0 10 12 2 4 2 2 3 0 2 393 5 0 815 1208.0 0 0 1 3 1208 0 0.000000 1208 0 0 2 0 2 1 2 6 7 0 2 2 632.0 3 4 2 105.0 58 0 0.000000 0.000000 0 8 1
1371 2832 20 3 90 13646.000000 1 3 3 0 0 0 5 3 3 0 2 6 5 2006 2006 3 0 10 12 2 4 2 2 3 3 2 1576 5 0 260 1836.0 0 2 1 3 1846 0 0.000000 1846 1 0 2 0 3 1 2 7 7 1 2 2 495.0 3 4 2 0.0 32 0 0.000000 0.000000 0 6 7
1372 2833 20 3 78 5076.000000 1 3 3 0 4 0 5 3 3 0 2 8 5 2005 2006 3 0 10 12 2 4 2 0 3 1 2 1122 5 0 448 1570.0 0 0 1 3 1590 0 0.000000 1590 1 0 2 1 2 1 0 6 7 0 2 3 754.0 3 4 2 176.0 80 0 0.000000 0.000000 0 6 7
1373 2834 60 3 91 9349.000000 1 0 3 0 0 0 5 3 3 0 4 7 5 2005 2006 1 0 10 12 2 4 2 2 3 1 5 0 5 0 945 945.0 0 0 1 3 945 864 0.000000 1809 0 0 2 1 3 1 2 8 7 0 2 2 638.0 3 4 2 144.0 54 0 0.000000 0.000000 0 6 7
1375 2836 60 3 78 8260.000000 1 0 3 0 4 0 5 3 3 0 4 7 5 2005 2005 1 0 10 12 2 4 2 2 3 0 5 0 5 0 784 784.0 0 0 1 3 784 812 0.000000 1596 0 0 2 1 3 1 2 6 7 0 2 2 610.0 3 4 2 144.0 45 0 0.000000 0.000000 0 8 6
1376 2837 20 3 80 3497.000000 1 3 3 0 4 0 4 3 3 0 2 6 5 1968 1968 1 0 8 9 3 1 1 2 0 3 3 853 5 0 535 1388.0 0 2 1 3 1388 0 0.000000 1388 1 0 2 0 3 1 3 6 7 1 2 2 522.0 3 4 2 0.0 58 0 0.000000 0.000000 0 0 1
1377 2838 20 3 95 18558.000000 1 3 3 0 0 0 5 3 3 0 2 5 6 1996 1996 1 0 10 12 3 2 2 2 3 3 5 0 5 0 1100 1100.0 0 0 1 3 1100 0 0.000000 1100 0 0 1 1 3 1 3 5 7 0 2 2 462.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1378 2839 60 3 65 16470.000000 1 0 3 0 4 0 5 5 3 0 4 6 5 1995 1995 1 0 10 12 2 4 2 2 3 3 5 0 5 0 781 781.0 0 0 1 3 795 704 0.000000 1499 0 0 2 1 3 1 2 6 7 1 2 2 473.0 3 4 2 413.0 91 0 0.000000 0.000000 0 8 6
1382 2843 60 3 50 349.000000 1 0 3 0 4 0 5 3 3 0 4 6 6 1977 1977 1 0 6 9 3 4 1 2 3 0 2 509 5 0 166 675.0 0 4 1 3 686 702 0.000000 1388 0 0 1 1 3 1 3 6 7 0 2 1 317.0 3 4 2 406.0 36 0 0.000000 0.000000 0 8 6
1383 2844 80 3 42 8810.000000 1 0 3 0 1 0 5 3 3 0 6 6 6 1978 1978 1 0 6 6 3 4 1 3 1 0 0 595 3 400 0 995.0 0 4 1 3 1282 0 0.000000 1282 0 1 2 0 3 1 3 6 7 0 6 3 672.0 0 4 2 386.0 0 0 0.000000 0.000000 0 8 6
1384 2845 20 3 60 8096.000000 1 3 2 0 4 0 5 3 3 0 2 5 8 1972 1972 1 0 10 12 3 4 1 3 3 3 1 437 5 0 427 864.0 0 0 1 3 864 0 0.000000 864 0 0 1 0 3 1 3 5 7 0 6 1 297.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1387 2848 20 3 68 12655.000000 1 3 3 0 0 0 5 3 3 0 2 8 5 2002 2002 3 0 9 11 2 4 2 2 3 3 2 872 5 0 476 1348.0 0 0 1 3 1358 0 0.000000 1358 1 0 1 1 1 1 2 5 7 1 2 2 418.0 3 4 2 68.0 166 0 0.000000 0.000000 0 8 6
1389 2850 60 3 67 9131.000000 1 0 3 0 4 0 5 3 3 0 4 8 5 1999 1999 1 0 10 12 2 4 2 2 3 0 2 920 5 0 170 1090.0 0 0 1 3 1090 1124 0.000000 2214 1 0 2 1 3 1 2 8 7 1 2 3 646.0 3 4 2 197.0 80 0 0.000000 0.000000 0 8 6
1390 2851 60 3 68 9677.000000 1 1 3 0 2 0 5 1 3 0 4 7 5 1996 1997 1 0 10 12 2 4 2 2 3 3 5 0 5 0 1065 1065.0 0 0 1 3 1065 984 0.000000 2049 0 0 2 1 4 1 2 9 7 1 2 2 467.0 3 4 2 120.0 48 0 0.000000 0.000000 0 8 6
1391 2852 60 3 90 15950.000000 1 0 3 0 0 0 5 3 3 0 4 7 5 1998 1998 1 0 10 12 3 4 2 2 3 2 0 796 5 0 258 1054.0 0 0 1 3 1070 869 0.000000 1939 0 1 2 1 3 1 2 8 7 1 2 3 555.0 3 4 2 128.0 84 0 0.000000 0.000000 0 8 6
1392 2853 60 3 90 6353.000000 1 3 3 0 0 0 5 3 3 0 4 7 5 1995 1996 1 0 10 12 2 2 2 2 1 0 2 685 5 0 245 930.0 0 0 1 3 950 1045 0.000000 1995 1 0 2 1 4 1 2 8 7 1 2 2 610.0 3 4 2 275.0 170 0 0.000000 0.000000 0 8 6
1393 2854 120 4 37 6605.000000 1 3 3 0 4 0 5 2 2 4 2 6 5 2003 2003 1 0 10 12 2 4 2 2 3 0 2 717 5 0 131 848.0 0 0 1 3 848 0 0.000000 848 1 0 1 0 1 1 2 4 7 0 2 2 420.0 3 4 2 140.0 0 0 0.000000 0.000000 0 8 5
1395 2856 60 3 74 8462.000000 1 0 3 0 4 0 5 3 3 0 4 7 5 2006 2006 1 0 10 12 2 4 2 2 1 2 5 0 5 0 851 851.0 0 0 1 3 851 886 0.000000 1737 0 0 2 1 3 1 2 7 7 0 2 2 578.0 3 4 2 0.0 105 0 0.000000 0.000000 0 6 7
1396 2857 60 3 70 9497.000000 1 3 3 0 4 0 5 3 3 0 4 7 5 2005 2005 1 0 10 12 2 4 2 2 3 0 5 0 5 0 784 784.0 0 0 1 3 784 827 0.000000 1611 0 0 2 1 3 1 2 6 7 0 2 2 572.0 3 4 2 144.0 36 0 0.000000 0.000000 0 8 6
1397 2858 20 3 65 20400.000000 1 3 3 0 2 0 5 3 3 0 2 7 5 2005 2006 1 0 10 12 2 4 2 2 3 2 2 996 5 0 340 1336.0 0 0 1 3 1336 0 0.000000 1336 1 0 2 0 3 1 2 6 7 0 2 2 502.0 3 4 2 136.0 43 0 0.000000 0.000000 0 6 7
1398 2859 70 3 67 7051.000000 1 3 0 0 4 0 7 1 3 0 4 4 6 1910 2000 1 0 8 9 3 2 1 2 3 3 4 173 1 337 166 676.0 0 2 1 3 760 676 0.000000 1436 1 0 2 0 3 1 3 6 0 0 2 2 528.0 3 4 2 147.0 0 0 0.000000 0.000000 0 8 6
1399 2860 90 3 38 10163.000000 1 0 3 0 1 0 7 3 3 2 5 6 5 1975 1975 0 1 8 14 3 4 1 2 3 1 2 976 5 0 0 976.0 0 4 1 3 1012 0 0.000000 1012 0 2 2 0 4 0 3 4 7 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 2
1400 2861 20 3 73 8704.000000 1 3 1 0 4 0 7 3 3 0 2 5 4 1969 1969 1 0 6 9 3 4 1 2 3 2 0 847 5 0 329 1176.0 0 4 1 3 1176 0 0.000000 1176 1 0 1 0 2 1 3 5 7 0 2 1 360.0 3 4 2 0.0 92 0 0.000000 112.000000 0 8 1
1401 2862 60 3 62 18510.000000 1 3 3 0 4 0 7 3 3 0 4 7 5 2003 2004 3 0 6 11 2 4 2 2 3 3 5 0 5 0 796 796.0 0 0 1 3 806 918 0.000000 1724 0 0 2 1 3 1 2 8 7 1 4 2 616.0 3 4 2 168.0 57 0 0.000000 0.000000 0 8 6
1402 2863 20 3 75 13468.000000 1 3 3 0 4 0 7 3 3 0 2 6 5 2002 2002 1 0 10 12 3 4 2 2 3 0 2 475 0 297 142 914.0 0 0 1 3 914 0 0.000000 914 1 0 1 0 2 1 2 4 7 0 5 0 0.0 2 0 0 32.0 0 0 0.000000 0.000000 0 8 6
1403 2864 60 3 90 8886.000000 1 0 3 0 0 0 7 3 3 0 4 7 5 2003 2005 1 0 10 12 2 4 2 0 3 3 5 0 5 0 1150 1150.0 0 0 1 3 1164 1150 0.000000 2314 0 0 2 1 3 1 2 9 7 1 4 2 502.0 3 4 2 0.0 274 0 0.000000 0.000000 0 3 6
1404 2865 180 4 35 7979.000000 1 3 3 0 4 0 7 2 2 4 5 6 5 2005 2006 1 0 10 12 3 4 2 2 3 1 2 547 5 0 0 547.0 0 2 1 3 1072 0 0.000000 1072 1 0 1 0 2 1 3 5 7 0 3 2 525.0 3 4 2 0.0 44 0 0.000000 0.000000 0 6 7
1405 2866 160 4 24 9637.000000 1 3 3 0 4 0 7 2 2 3 4 7 5 2004 2004 1 0 10 12 2 4 2 2 3 3 5 0 5 0 970 970.0 0 0 1 3 970 739 0.000000 1709 0 0 2 0 3 1 2 7 3 0 6 2 380.0 3 4 2 0.0 40 0 0.000000 0.000000 0 8 5
1406 2867 50 3 56 16595.000000 1 3 3 0 4 0 7 3 3 0 0 4 7 1948 1950 1 0 10 12 3 2 1 1 3 2 5 0 5 0 624 624.0 0 0 1 3 624 312 0.000000 936 0 0 1 0 3 1 3 5 7 0 2 1 265.0 3 3 2 0.0 0 0 0.000000 0.000000 0 8 6
1407 2868 50 3 72 3158.000000 1 3 0 0 0 0 7 0 3 0 0 6 3 1915 1950 1 0 0 0 3 1 0 1 0 3 5 0 5 0 832 832.0 0 4 1 1 846 492 0.000000 1338 0 0 2 0 3 1 3 7 7 0 6 2 528.0 3 4 0 0.0 0 66 0.000000 0.000000 0 8 2
1408 2869 50 3 62 6663.000000 1 3 3 0 2 0 7 1 3 0 0 4 5 1924 1950 1 0 11 13 3 4 0 3 3 3 5 0 5 0 1093 1093.0 0 4 0 1 1093 576 0.000000 1669 0 0 1 1 4 1 3 9 1 0 2 1 288.0 0 4 2 0.0 0 56 0.000000 0.000000 0 8 2
1409 2870 20 3 60 8313.000000 1 0 3 0 4 0 7 3 3 0 2 4 4 1954 1968 3 0 11 13 3 4 1 3 3 3 4 691 5 0 263 954.0 0 0 1 3 1482 0 0.000000 1482 0 1 2 0 3 1 3 6 0 1 1 2 609.0 3 4 2 0.0 30 0 0.000000 0.000000 0 8 1
1410 2871 50 3 45 5038.000000 1 3 3 0 4 0 7 3 3 0 0 4 4 1922 1950 1 0 11 13 3 4 0 3 3 3 5 0 5 0 864 864.0 0 4 0 3 964 0 62.304757 1414 0 0 1 0 3 1 3 8 7 1 5 0 0.0 2 0 0 0.0 0 66 0.000000 0.000000 0 0 1
1411 2872 30 3 60 3347.000000 1 3 3 0 4 0 7 1 3 0 2 2 3 1922 1955 1 0 7 8 3 4 0 3 3 3 5 0 5 0 498 498.0 0 4 0 1 498 0 0.000000 498 0 0 1 0 1 1 3 3 7 0 6 1 216.0 0 1 0 0.0 0 66 0.000000 0.000000 0 3 6
1412 2873 50 3 76 11209.000000 1 3 2 0 4 1 7 3 3 0 0 4 7 1910 1993 1 0 10 13 3 4 0 3 3 3 5 0 5 0 616 616.0 0 4 0 3 1055 218 0.000000 1273 0 0 1 0 3 1 2 5 1 0 6 1 275.0 3 1 0 212.0 0 0 0.000000 0.000000 0 8 6
1413 2874 50 3 60 20977.000000 1 3 3 0 4 0 18 3 3 0 0 5 5 1938 1950 1 0 7 8 3 4 0 1 3 3 3 930 5 0 128 1058.0 0 4 1 3 1058 493 0.000000 1551 1 0 2 0 3 1 1 6 7 0 6 1 240.0 0 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1414 2875 190 2 58 12958.000000 1 3 0 0 0 0 18 1 3 1 0 6 6 1945 1950 1 0 11 13 3 4 1 3 3 0 1 780 5 0 0 780.0 0 4 0 1 816 524 0.000000 1340 1 0 1 0 3 1 3 6 7 0 2 1 440.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 1
1415 2876 70 3 43 15551.000000 1 3 3 0 4 0 18 1 3 0 4 7 8 1926 1997 1 0 11 11 3 4 0 3 3 3 0 424 5 0 200 624.0 0 0 1 3 743 736 0.000000 1479 1 0 1 0 3 1 2 6 7 2 6 1 312.0 3 4 2 530.0 0 56 0.000000 0.000000 0 8 6
1416 2877 70 3 69 4155.000000 1 3 1 0 0 0 18 3 3 0 4 6 8 1920 1950 1 0 7 8 3 4 2 3 3 3 1 305 5 0 450 755.0 0 0 1 3 755 755 0.000000 1510 0 0 1 0 3 1 3 6 7 0 6 1 216.0 3 4 2 0.0 0 66 0.000000 0.000000 0 8 6
1417 2878 70 3 54 6200.000000 1 3 0 0 4 0 6 3 3 0 3 7 8 1919 1950 1 0 7 11 3 4 0 3 3 2 5 0 5 0 818 818.0 0 4 1 3 818 818 0.000000 1636 0 0 1 1 4 1 2 7 7 1 6 1 288.0 0 4 0 0.0 0 66 0.000000 0.000000 0 8 1
1418 2879 50 3 84 2749.000000 1 3 0 0 4 0 18 3 3 0 0 5 5 1939 1950 1 0 10 12 3 4 1 3 0 0 3 646 5 0 346 992.0 0 1 1 3 992 473 0.000000 1465 0 0 2 0 3 1 3 6 7 2 6 1 240.0 3 4 2 0.0 126 0 0.000000 0.000000 0 8 6
1419 2880 50 3 51 7734.000000 1 3 3 0 0 0 18 3 3 0 0 5 4 1941 1950 1 0 11 13 3 4 1 1 0 3 3 384 5 0 440 824.0 0 4 0 3 824 464 0.000000 1288 0 0 1 0 4 1 3 6 7 0 6 1 240.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1420 2881 50 3 66 11733.000000 1 3 3 0 4 0 6 3 3 0 4 6 5 1920 1950 1 0 11 14 3 4 2 3 0 3 5 0 5 0 817 817.0 0 2 1 1 940 610 0.000000 1550 0 0 1 1 3 1 3 7 1 1 6 1 318.0 3 4 1 0.0 0 66 0.000000 0.000000 0 8 6
1421 2882 50 3 80 22644.000000 1 3 1 0 4 1 6 3 3 0 0 5 6 1940 1950 1 0 11 13 3 4 1 2 3 2 1 602 5 0 299 901.0 0 4 1 3 1125 592 0.000000 1717 0 0 1 1 2 1 3 7 7 1 2 1 410.0 3 4 2 0.0 0 0 0.000000 113.000000 0 8 6
1422 2883 50 3 81 7527.000000 1 0 3 0 4 0 6 3 3 0 0 7 7 1929 1950 1 0 9 13 2 2 0 3 3 3 0 526 5 0 496 1022.0 0 0 1 0 1122 549 0.000000 1671 0 0 2 0 4 1 3 7 7 1 6 2 451.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1423 2884 70 3 70 9045.000000 1 0 1 0 4 0 6 3 3 0 4 7 7 1932 1990 1 0 11 13 3 4 0 3 3 3 5 0 5 0 637 637.0 0 0 1 3 959 650 0.000000 1609 0 0 1 1 3 1 2 8 7 2 0 3 579.0 3 4 2 0.0 0 0 0.000000 104.000000 0 8 6
1424 2885 70 3 70 2638.000000 1 0 3 0 4 0 6 3 3 0 4 6 7 1930 1959 1 0 11 13 3 4 2 3 3 3 5 0 5 0 697 697.0 0 0 1 3 1104 697 0.000000 1801 0 0 1 1 3 1 3 8 7 1 2 2 365.0 0 4 2 0.0 90 0 0.000000 0.000000 0 8 6
1425 2886 60 3 78 10142.000000 1 3 3 0 4 0 6 3 3 0 4 5 7 1950 1963 1 0 11 13 3 2 1 2 3 3 2 760 5 0 408 1168.0 0 2 1 3 1278 1037 0.000000 2315 1 0 2 0 4 1 3 9 7 3 2 1 342.0 3 4 2 0.0 0 0 0.000000 153.453113 0 8 6
1426 2887 30 4 50 6817.000000 1 3 3 0 4 0 9 0 2 0 2 5 6 1942 1950 1 0 7 8 3 4 1 3 3 2 4 305 5 0 671 976.0 0 4 0 3 976 0 0.000000 976 1 0 1 0 2 1 3 5 7 0 6 1 215.0 3 4 0 160.0 0 0 0.000000 0.000000 0 8 2
1427 2888 50 4 50 15837.000000 1 3 3 0 4 0 9 2 2 0 0 6 7 1926 1950 3 0 7 8 3 4 2 3 3 3 0 374 5 0 487 861.0 0 0 1 3 861 424 0.000000 1285 0 1 1 0 3 1 3 6 7 0 6 2 506.0 3 4 2 96.0 0 66 0.000000 0.000000 0 8 5
1428 2889 30 4 61 20536.000000 1 3 2 0 4 0 9 2 2 0 2 4 4 1925 1950 1 0 11 13 3 4 0 1 3 3 5 0 5 0 432 432.0 0 4 0 0 672 0 0.000000 672 0 0 1 0 2 1 3 4 0 0 5 0 0.0 2 0 0 0.0 0 66 0.000000 0.000000 0 8 5
1429 2890 30 4 50 3529.000000 1 3 3 0 4 0 9 2 2 0 2 4 6 1925 1950 1 0 7 8 3 4 0 3 3 3 5 0 5 0 641 641.0 0 2 1 3 641 0 0.000000 641 0 0 1 0 2 1 1 4 7 0 6 1 272.0 3 4 0 184.0 0 66 0.000000 0.000000 0 8 5
1430 2891 50 4 75 13879.000000 1 3 3 0 4 0 9 2 2 0 0 6 5 1957 1957 1 0 7 8 3 4 1 3 3 3 5 0 5 0 967 967.0 0 2 1 3 967 671 0.000000 1638 0 0 2 0 4 1 2 6 7 0 6 1 384.0 3 4 2 0.0 21 0 0.000000 0.000000 0 8 5
1431 2892 30 0 69 15563.000000 1 3 3 0 4 0 9 1 3 0 2 3 5 1945 1950 1 0 11 13 3 4 4 1 2 2 3 0 2 0 0 0.0 0 4 0 3 729 0 0.000000 729 0 0 1 0 2 1 3 5 5 0 5 0 0.0 2 0 0 0.0 0 23 0.000000 0.000000 0 8 1
1432 2893 190 0 50 11746.000000 1 3 3 0 4 0 9 3 3 1 0 5 6 1951 1951 1 0 12 14 1 1 1 3 3 2 5 0 5 0 660 660.0 0 4 0 3 1060 336 0.000000 1396 0 0 2 0 4 2 3 8 1 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 1
1433 2894 50 0 60 16987.000000 0 3 0 0 4 0 9 3 3 0 0 3 5 1916 1950 1 0 7 8 3 4 2 1 0 3 5 0 5 0 216 216.0 0 1 0 3 576 360 0.000000 936 0 0 1 0 2 1 3 6 7 0 5 0 0.0 2 0 0 0.0 0 0 0.000000 0.000000 0 8 6
1434 2895 120 4 41 14445.000000 1 0 1 0 4 1 6 2 2 4 2 8 5 2005 2006 3 0 5 5 2 4 2 0 3 1 2 1573 5 0 0 1573.0 0 0 1 3 1778 0 0.000000 1778 2 0 2 0 2 1 0 5 7 1 2 2 495.0 3 4 2 123.0 53 0 0.000000 153.000000 0 6 7
1435 2896 120 4 44 16560.000000 1 0 1 0 4 1 6 2 2 4 2 8 5 2004 2005 3 0 5 5 2 4 2 0 3 1 2 1564 5 0 30 1594.0 0 0 1 3 1646 0 0.000000 1646 1 1 2 0 2 1 2 5 7 1 2 2 525.0 3 4 2 128.0 53 0 0.000000 153.453113 0 8 5
1436 2897 20 3 69 6355.000000 1 0 3 0 4 1 11 3 3 0 2 6 6 1979 1979 1 0 8 9 3 4 1 2 3 1 2 776 5 0 849 1625.0 0 4 1 3 1625 0 0.000000 1625 0 1 2 0 3 1 1 6 7 1 2 2 576.0 3 4 2 136.0 28 0 0.000000 0.000000 0 8 6
1437 2898 90 3 65 7054.000000 1 3 3 0 4 0 11 3 3 2 2 6 5 1978 1978 1 0 8 9 3 4 1 3 3 2 5 0 5 0 1664 1664.0 0 4 1 3 1664 0 0.000000 1664 0 0 2 0 4 2 3 10 7 0 0 2 616.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1438 2899 20 3 70 14551.000000 1 3 3 0 0 0 11 3 3 0 2 8 5 2001 2001 3 0 10 12 2 4 2 0 3 3 5 0 5 0 1491 1491.0 0 0 1 3 1491 0 0.000000 1491 0 0 2 0 3 1 2 7 7 0 2 2 490.0 3 4 2 120.0 100 0 0.000000 0.000000 0 8 6
1439 2900 80 3 140 10396.000000 1 3 3 0 0 0 11 3 3 0 6 6 6 1975 1975 1 0 8 9 3 4 1 3 3 0 2 132 5 0 552 1128.0 0 4 1 3 1210 0 0.000000 1210 1 0 2 0 3 1 3 6 7 0 2 2 528.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1440 2901 20 3 68 13060.000000 1 0 2 0 4 1 23 3 3 0 2 6 5 1958 1958 1 1 8 9 3 4 1 2 3 1 1 909 5 0 723 1632.0 0 4 1 3 1650 0 0.000000 1650 1 0 1 0 2 1 3 6 7 2 2 2 518.0 3 4 2 0.0 0 0 0.000000 138.000000 0 8 3
1441 2902 20 3 68 7574.000000 1 0 3 0 4 0 23 3 3 0 2 6 5 2000 2000 1 0 10 12 2 4 5 2 3 0 2 1136 1 116 129 1381.0 0 0 1 3 1403 0 0.000000 1403 1 0 2 0 2 1 2 5 7 0 2 2 470.0 3 4 2 0.0 173 0 0.000000 0.000000 0 8 6
1442 2903 20 3 95 12730.000000 1 3 3 0 0 0 23 3 3 0 2 8 5 2005 2006 1 0 10 12 2 4 2 0 1 0 2 1350 5 0 378 1728.0 0 0 1 3 1960 0 0.000000 1960 1 0 2 0 3 1 2 8 7 2 2 3 714.0 3 4 2 172.0 38 0 0.000000 0.000000 0 6 7
1443 2904 20 3 88 7169.000000 1 3 3 0 4 0 23 3 3 0 2 9 5 2005 2006 3 0 10 12 0 4 2 2 3 1 2 1455 5 0 383 1838.0 0 0 1 3 1838 0 0.000000 1838 1 0 2 0 3 1 0 9 7 1 2 3 682.0 3 4 2 161.0 225 0 0.000000 0.000000 0 6 7
1444 2905 20 2 125 11904.000000 1 3 3 0 4 0 11 0 3 0 2 1 3 1951 1951 1 0 4 12 3 1 1 1 2 2 3 0 2 0 0 0.0 0 4 1 0 1600 0 0.000000 1600 0 0 1 1 3 1 3 6 5 0 2 1 270.0 0 4 0 0.0 0 66 0.000000 0.000000 0 8 6
1445 2906 90 4 78 16515.000000 1 3 3 0 4 0 11 2 2 2 5 7 5 1997 1997 1 0 7 8 3 2 2 2 3 1 2 1243 5 0 45 1288.0 0 2 1 3 1368 0 0.000000 1368 2 0 2 0 2 2 3 8 7 0 2 4 784.0 3 4 2 0.0 48 0 0.000000 0.000000 0 8 5
1446 2907 160 4 41 12621.000000 1 3 3 0 4 0 10 2 2 4 4 5 6 1977 1977 1 0 5 5 3 4 2 2 3 2 5 0 5 0 264 264.0 0 4 1 3 616 688 0.000000 1304 0 0 1 1 3 1 3 5 7 1 4 1 336.0 3 4 2 141.0 0 0 0.000000 0.000000 0 8 5
1448 2909 90 3 68 11148.000000 1 0 3 0 0 0 11 3 3 2 2 5 5 1970 1970 1 0 8 9 3 4 1 3 3 3 1 149 5 0 1503 1652.0 0 4 1 3 1652 0 0.000000 1652 0 0 2 0 4 2 3 8 7 0 0 3 928.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 6
1449 2910 180 4 21 594.000000 1 3 3 0 4 0 10 2 2 3 5 4 6 1970 1970 1 0 5 5 3 4 1 2 3 0 2 522 5 0 108 630.0 0 4 1 3 630 0 0.000000 630 1 0 1 0 1 1 3 3 7 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 5
1450 2911 160 4 21 17691.000000 1 3 3 0 4 0 10 2 2 4 4 4 4 1972 1972 1 0 5 5 3 4 1 3 3 3 4 252 5 0 294 546.0 0 4 1 3 546 546 0.000000 1092 0 0 1 1 3 1 3 5 7 0 2 1 253.0 3 1 2 0.0 0 0 0.000000 0.000000 0 8 5
1451 2912 20 3 80 17795.000000 1 3 3 0 4 1 11 3 3 0 2 5 5 1969 1979 1 0 8 9 3 4 2 3 3 0 4 119 1 344 641 1104.0 0 1 1 3 1360 0 0.000000 1360 1 0 1 0 3 1 3 8 7 1 2 1 336.0 3 4 2 160.0 0 0 0.000000 0.000000 0 8 6
1452 2913 160 4 21 12104.000000 1 3 3 0 4 0 10 2 2 3 4 4 5 1970 1970 1 0 5 5 3 4 1 3 3 3 4 408 5 0 138 546.0 0 4 1 3 546 546 0.000000 1092 0 0 1 1 3 1 3 5 7 0 5 1 286.0 3 4 2 0.0 0 0 0.000000 0.000000 0 8 0
1453 2914 160 4 21 20033.000000 1 3 3 0 4 0 10 2 2 3 4 4 5 1970 1970 1 0 5 5 3 4 1 3 3 3 5 0 5 0 546 546.0 0 4 1 3 546 546 0.000000 1092 0 0 1 1 3 1 3 5 7 0 5 0 0.0 2 0 2 0.0 34 0 0.000000 0.000000 0 8 5
1454 2915 160 4 21 14584.000000 1 3 3 0 4 0 10 2 2 3 4 4 7 1970 1970 1 0 5 5 3 4 1 3 3 3 5 0 5 0 546 546.0 0 2 1 3 546 546 0.000000 1092 0 0 1 1 3 1 3 5 7 0 5 0 0.0 2 0 2 0.0 0 0 0.000000 0.000000 0 8 5
1455 2916 160 4 21 8072.000000 1 3 3 0 4 0 10 2 2 4 4 4 5 1970 1970 1 0 5 5 3 4 1 3 3 3 4 252 5 0 294 546.0 0 4 1 3 546 546 0.000000 1092 0 0 1 1 3 1 3 6 7 0 5 1 286.0 3 4 2 0.0 24 0 0.000000 0.000000 0 8 0
1456 2917 20 3 160 7367.000000 1 3 3 0 4 0 11 3 3 0 2 5 7 1960 1996 1 0 10 12 3 4 1 3 3 3 0 132 5 0 0 1224.0 0 0 1 3 1224 0 0.000000 1224 1 0 1 0 4 1 3 7 7 1 6 2 576.0 3 4 2 474.0 0 0 0.000000 0.000000 0 8 1
1457 2918 85 3 62 2203.000000 1 3 3 0 4 0 11 3 3 0 5 5 5 1992 1992 1 0 6 14 3 4 2 2 3 0 2 337 5 0 575 912.0 0 4 1 3 970 0 0.000000 970 0 1 1 0 3 1 3 6 7 0 5 0 0.0 2 0 2 80.0 32 0 0.000000 0.000000 0 8 6
1458 2919 60 3 74 6253.000000 1 3 3 0 4 1 11 3 3 0 4 7 5 1993 1994 1 0 6 6 3 4 2 2 3 0 3 758 5 0 238 996.0 0 0 1 3 996 1004 0.000000 2000 0 0 2 1 3 1 3 9 7 1 2 3 650.0 3 4 2 190.0 48 0 0.000000 0.000000 0 8 6

SKEWNESS¶

In [211]:
prout.skew()
Out[211]:
Id                            0.000000
Building_Class                1.406938
Zoning_Class                 -1.734900
Lot_Extent                    0.425155
Lot_Size                      0.995152
Road_Type                   -15.513399
Property_Shape               -0.609065
Land_Outline                 -3.161114
Utility_Type                 38.196859
Lot_Configuration            -1.134578
Property_Slope                4.811833
Neighborhood                  0.040800
Condition1                    3.018093
Condition2                   13.167290
House_Type                    2.244472
House_Design                  0.305735
Overall_Material              0.215719
House_Condition               0.693682
Construction_Year            -0.613700
Remodel_Year                 -0.505239
Roof_Design                   1.472729
Roof_Quality                  3.316535
Exterior1st                  -0.728360
Exterior2nd                  -0.695057
Exterior_Material            -1.832057
Exterior_Condition           -2.564061
Foundation_Type               0.413799
Basement_Height              -1.195582
Basement_Condition           -3.207608
Exposure_Level               -1.142902
BsmtFinType1                 -0.028246
BsmtFinSF1                    0.872042
BsmtFinType2                 -2.980498
BsmtFinSF2                    3.255644
BsmtUnfSF                     0.919485
Total_Basement_Area           0.481854
Heating_Type                  9.851633
Heating_Quality               0.483621
Air_Conditioning             -3.528901
Electrical_System            -3.058986
First_Floor_Area              0.401758
Second_Floor_Area             0.811989
LowQualFinSF                  7.637804
Grade_Living_Area             0.758954
Underground_Full_Bathroom     0.597963
Underground_Half_Bathroom     4.101759
Full_Bathroom_Above_Grade     0.035218
Half_Bathroom_Above_Grade     0.677972
Bedroom_Above_Grade           0.212058
Kitchen_Above_Grade           4.486640
Kitchen_Quality              -1.421956
Rooms_Above_Grade             0.675547
Functional_Rate              -3.785374
Fireplaces                    0.648580
Garage                        0.775100
Garage_Size                  -0.344174
Garage_Area                   0.029738
Garage_Quality               -3.814660
Garage_Condition             -3.054894
Pavedd_Drive                 -3.307513
W_Deck_Area                  -0.061640
Open_Lobby_Area              -0.062673
Enclosed_Lobby_Area          -0.037382
Three_Season_Lobby_Area       7.755046
Screen_Lobby_Area             3.312648
Pool_Area                    14.823236
Sale_Type                    -3.867083
Sale_Condition               -2.739930
Sale_Price                    1.320345
dtype: float64
In [212]:
prout["Building_Class"]=np.sqrt(prout.Building_Class)
prout["Property_Slope"]=np.sqrt(prout.Property_Slope)
prout["Condition1"]=np.sqrt(prout.Condition1)
prout["Condition2"]=np.sqrt(prout.Condition2)
prout["House_Type"]=np.sqrt(prout.House_Type)
prout["Utility_Type"]=np.sqrt(prout.Utility_Type)
prout["Roof_Design"]=np.sqrt(prout.Roof_Design)  
prout["Roof_Quality"]=np.sqrt(prout.Roof_Quality)
prout["BsmtFinSF2"]=np.sqrt(prout.BsmtFinSF2)
prout["Heating_Type"]=np.sqrt(prout.Heating_Type)
prout["LowQualFinSF"]=np.sqrt(prout.LowQualFinSF)
prout["Underground_Half_Bathroom"]=np.sqrt(prout.Underground_Half_Bathroom)
prout["Kitchen_Above_Grade"]=np.sqrt(prout.Kitchen_Above_Grade)
prout["Three_Season_Lobby_Area"]=np.sqrt(prout.Three_Season_Lobby_Area)
prout["Screen_Lobby_Area"]=np.sqrt(prout.Screen_Lobby_Area)
prout["Pool_Area"]=np.sqrt(prout.Pool_Area)
prout["Sale_Price"]=np.sqrt(prout.Sale_Price)
In [213]:
prout["Zoning_Class"]=np.square(prout.Zoning_Class)
prout["Road_Type"]=np.square(prout.Road_Type)
prout["Land_Outline"]=np.square(prout.Land_Outline)
prout["Lot_Configuration"]=np.square(prout.Lot_Configuration)
prout["Exterior_Material"]=np.square(prout.Exterior_Material)
prout["Exterior_Condition"]=np.square(prout.Exterior_Condition)
prout["Basement_Height"]=np.square(prout.Basement_Height)
prout["Basement_Condition"]=np.square(prout.Basement_Condition)
prout["BsmtFinType2"]=np.square(prout.BsmtFinType2)
prout["Air_Conditioning"]=np.square(prout.Air_Conditioning)
prout["Electrical_System"]=np.square(prout.Electrical_System)
prout["Kitchen_Quality"]=np.square(prout.Kitchen_Quality)
prout["Functional_Rate"]=np.square(prout.Functional_Rate)
prout["Garage_Quality"]=np.square(prout.Garage_Quality)
prout["Garage_Condition"]=np.square(prout.Garage_Condition)
prout["Pavedd_Drive"]=np.square(prout.Pavedd_Drive)
prout["Sale_Type"]=np.square(prout.Sale_Type)
prout["Sale_Condition"]=np.square(prout.Sale_Condition)
In [214]:
d2.skew()
Out[214]:
Id                            0.000000
Building_Class                1.346690
Zoning_Class                 -1.741014
Lot_Extent                    0.733264
Lot_Size                      0.051193
Road_Type                   -15.513399
Property_Shape               -0.626503
Land_Outline                 -3.075952
Utility_Type                  0.000000
Lot_Configuration            -1.262051
Property_Slope                4.968390
Neighborhood                 -0.007337
Condition1                    1.256006
Condition2                   -1.948691
House_Type                    2.144973
House_Design                  0.194867
Overall_Material              0.181196
House_Condition               0.449165
Construction_Year            -0.587657
Remodel_Year                 -0.399906
Roof_Design                   1.641176
Roof_Quality                 11.942071
Exterior1st                  -0.920539
Exterior2nd                  -0.741070
Exterior_Material            -1.776468
Exterior_Condition           -2.424394
Foundation_Type               0.293173
Basement_Height              -1.091283
Basement_Condition           -3.056805
Exposure_Level               -1.190621
BsmtFinType1                 -0.081308
BsmtFinSF1                    1.007345
BsmtFinType2                 -2.732637
BsmtFinSF2                    2.916894
BsmtUnfSF                     0.909965
Total_Basement_Area           0.372316
Heating_Type                 14.490202
Heating_Quality               0.491119
Air_Conditioning             -3.397595
Electrical_System            -3.169316
First_Floor_Area              0.922969
Second_Floor_Area             0.895308
LowQualFinSF                 10.071370
Grade_Living_Area             0.924143
Underground_Full_Bathroom     0.748832
Underground_Half_Bathroom     3.888589
Full_Bathroom_Above_Grade     0.295839
Half_Bathroom_Above_Grade     0.714728
Bedroom_Above_Grade           0.436623
Kitchen_Above_Grade           4.079055
Kitchen_Quality              -1.471416
Rooms_Above_Grade             0.842597
Functional_Rate              -3.886799
Fireplaces                    0.819858
Garage                        0.568627
Garage_Size                  -0.105699
Garage_Area                   0.282648
Garage_Quality               -3.299499
Garage_Condition             -3.088736
Pavedd_Drive                 -2.715444
W_Deck_Area                   1.504396
Open_Lobby_Area               1.788860
Enclosed_Lobby_Area           1.845810
Three_Season_Lobby_Area      12.524216
Screen_Lobby_Area             2.840473
Pool_Area                    20.196888
Sale_Type                    -3.582717
Sale_Condition               -2.615349
dtype: float64
In [216]:
d2["Property_Slope"]=np.sqrt(d2.Property_Slope)
d2["Condition1"]=np.sqrt(d2.Condition1)
d2["House_Type"]=np.sqrt(d2.House_Type)
d2["Roof_Design"]=np.sqrt(d2.Roof_Design)  
d2["Roof_Quality"]=np.sqrt(d2.Roof_Quality)
d2["BsmtFinSF1"]=np.sqrt(d2.BsmtFinSF1)
d2["BsmtFinSF2"]=np.sqrt(d2.BsmtFinSF2)
d2["Heating_Type"]=np.sqrt(d2.Heating_Type)
d2["Second_Floor_Area"]=np.sqrt(d2.Second_Floor_Area)
d2["LowQualFinSF"]=np.sqrt(d2.LowQualFinSF)
d2["Underground_Half_Bathroom"]=np.sqrt(d2.Underground_Half_Bathroom)
d2["Kitchen_Above_Grade"]=np.sqrt(d2.Kitchen_Above_Grade)
d2["W_Deck_Area"]=np.sqrt(d2.W_Deck_Area)
d2["Open_Lobby_Area"]=np.sqrt(d2.Open_Lobby_Area)
d2["Enclosed_Lobby_Area"]=np.sqrt(d2.Enclosed_Lobby_Area)
d2["Three_Season_Lobby_Area"]=np.sqrt(d2.Three_Season_Lobby_Area)
d2["Screen_Lobby_Area"]=np.sqrt(d2.Screen_Lobby_Area)
d2["Pool_Area"]=np.sqrt(d2.Pool_Area)
In [217]:
d2["Zoning_Class"]=np.square(d2.Zoning_Class)
d2["Road_Type"]=np.square(d2.Road_Type)
d2["Land_Outline"]=np.square(d2.Land_Outline)
d2["Lot_Configuration"]=np.square(d2.Lot_Configuration)
d2["Condition2"]=np.square(d2.Condition2)
d2["Exterior_Material"]=np.square(d2.Exterior_Material)
d2["Exterior_Condition"]=np.square(d2.Exterior_Condition)  
d2["Basement_Height"]=np.square(d2.Basement_Height)
d2["Basement_Condition"]=np.square(d2.Basement_Condition)
d2["Exposure_Level"]=np.square(d2.Exposure_Level)
d2["BsmtFinType2"]=np.square(d2.LowQualFinSF)
d2["Air_Conditioning"]=np.square(d2.Air_Conditioning)
d2["Electrical_System"]=np.square(d2.Electrical_System)
d2["Kitchen_Quality"]=np.square(d2.Kitchen_Quality)
d2["Functional_Rate"]=np.square(d2.Functional_Rate)
d2["Garage_Quality"]=np.square(d2.Garage_Quality)
d2["Garage_Condition"]=np.square(d2.Garage_Condition)
d2["Pavedd_Drive"]=np.square(d2.Pavedd_Drive)
d2["Sale_Type"]=np.square(d2.Sale_Type)
d2["Sale_Condition"]=np.square(d2.Sale_Condition)
In [218]:
d2.skew()
Out[218]:
Id                            0.000000
Building_Class                1.346690
Zoning_Class                 -0.006245
Lot_Extent                    0.733264
Lot_Size                      0.051193
Road_Type                   -15.513399
Property_Shape               -0.626503
Land_Outline                 -2.771704
Utility_Type                  0.000000
Lot_Configuration            -1.149483
Property_Slope                4.570488
Neighborhood                 -0.007337
Condition1                   -1.736327
Condition2                   -0.747115
House_Type                    1.884155
House_Design                  0.194867
Overall_Material              0.181196
House_Condition               0.449165
Construction_Year            -0.587657
Remodel_Year                 -0.399906
Roof_Design                   1.244135
Roof_Quality                  9.730319
Exterior1st                  -0.920539
Exterior2nd                  -0.741070
Exterior_Material            -0.778780
Exterior_Condition           -2.157003
Foundation_Type               0.293173
Basement_Height              -0.222536
Basement_Condition           -2.669935
Exposure_Level               -0.852248
BsmtFinType1                 -0.081308
BsmtFinSF1                   -0.001542
BsmtFinType2                 10.071370
BsmtFinSF2                    2.586502
BsmtUnfSF                     0.909965
Total_Basement_Area           0.372316
Heating_Type                 11.434893
Heating_Quality               0.491119
Air_Conditioning             -3.397595
Electrical_System            -3.055396
First_Floor_Area              0.922969
Second_Floor_Area             0.467191
LowQualFinSF                 10.071370
Grade_Living_Area             0.924143
Underground_Full_Bathroom     0.748832
Underground_Half_Bathroom     3.582589
Full_Bathroom_Above_Grade     0.295839
Half_Bathroom_Above_Grade     0.714728
Bedroom_Above_Grade           0.436623
Kitchen_Above_Grade           1.637205
Kitchen_Quality              -0.497731
Rooms_Above_Grade             0.842597
Functional_Rate              -3.632125
Fireplaces                    0.819858
Garage                        0.568627
Garage_Size                  -0.105699
Garage_Area                   0.282648
Garage_Quality               -2.791922
Garage_Condition             -2.950672
Pavedd_Drive                 -2.576829
W_Deck_Area                   0.489807
Open_Lobby_Area               0.505353
Enclosed_Lobby_Area           1.782732
Three_Season_Lobby_Area      11.008612
Screen_Lobby_Area             2.776345
Pool_Area                    17.036864
Sale_Type                    -2.812551
Sale_Condition               -1.624628
dtype: float64

LINEAR REGRESSION¶

LINEAR REGRESSOR¶

In [219]:
tr_x=prout.iloc[:,1:-1]
tr_y=prout.iloc[:,-1]
In [220]:
from sklearn.model_selection import train_test_split
In [221]:
tr_xtrain,tr_xtest,tr_ytrain,tr_ytest=train_test_split(tr_x,tr_y,test_size=.3,random_state=101)
In [222]:
tr_xtrain.shape,tr_xtest.shape,tr_ytrain.shape,tr_ytest.shape
Out[222]:
((1021, 67), (438, 67), (1021,), (438,))
In [223]:
from sklearn import linear_model
lm=linear_model.LinearRegression()
In [224]:
lm.fit(tr_xtrain,tr_ytrain)
Out[224]:
LinearRegression()
In [225]:
pred1=lm.predict(tr_xtest) 
pred1
Out[225]:
array([444.79622616, 403.92904363, 288.57642806, 404.77599627,
       405.62070115, 442.85221733, 549.68685829, 437.11153978,
       406.13451292, 386.19272896, 373.05639455, 444.03133886,
       488.53130428, 397.35894828, 343.50209228, 322.42907156,
       497.49413567, 507.87682214, 346.61462567, 358.42911101,
       343.87654832, 615.13134545, 437.52049125, 456.68387855,
       264.81976913, 322.82325925, 355.85561516, 421.03345328,
       328.67020164, 345.923486  , 470.44657275, 369.86012302,
       521.79361181, 446.04697634, 371.27012706, 341.71899189,
       573.03880863, 402.93079313, 611.12082055, 470.31299202,
       418.29686978, 444.56336841, 459.86077524, 357.78451392,
       471.13718482, 412.91899343, 347.46835745, 347.49713663,
       372.76638864, 240.95169022, 356.18972264, 386.06744573,
       326.59751076, 361.45261072, 425.50163479, 277.31672954,
       323.44707513, 357.62306595, 435.86807741, 388.91069587,
       427.17032045, 391.16011743, 312.831528  , 526.16310151,
       446.57508198, 529.20201538, 449.85404352, 414.20270903,
       396.63396188, 402.93833283, 392.54446151, 370.75297961,
       454.73620638, 336.671386  , 279.93730914, 515.30116218,
       362.703372  , 294.21052927, 459.95575304, 281.88070448,
       366.40925604, 480.22954703, 437.50643647, 388.32219449,
       358.27391705, 495.74826782, 443.70371821, 332.81659664,
       388.43974988, 374.3677878 , 399.02846249, 541.89589644,
       412.99691333, 331.28446969, 311.99530848, 513.06039082,
       441.50743305, 520.21579422, 344.6013621 , 450.04543954,
       301.22739388, 457.52111089, 351.30299462, 338.07644308,
       294.46864451, 346.2891729 , 289.12616506, 507.15893158,
       448.70641227, 459.06644803, 363.48362007, 394.93303587,
       475.34496797, 366.82157201, 414.51679838, 345.93879383,
       473.79973545, 334.71028818, 309.25424416, 399.3067084 ,
       505.1437893 , 346.82296303, 413.79851869, 300.23253256,
       409.62884344, 471.44984829, 342.98716488, 426.42548752,
       360.85668936, 550.62932964, 374.73508819, 534.66784285,
       607.3872713 , 510.13902874, 387.36189537, 382.34099524,
       448.25513102, 368.26634668, 313.72752175, 457.63605   ,
       624.81227275, 380.89550078, 347.76409101, 314.60555093,
       660.98305592, 511.03750651, 433.76400247, 502.9881261 ,
       472.45998132, 402.26752181, 344.03170693, 534.29996954,
       350.58453711, 371.622067  , 377.63955926, 501.0197067 ,
       446.73683294, 377.90143941, 439.67768695, 420.10371813,
       392.01597808, 575.41732527, 257.0371896 , 352.01002296,
       536.15496026, 372.06543832, 349.78520624, 278.96756578,
       354.92613487, 483.42656882, 340.64119504, 322.35188583,
       354.87507229, 381.65665279, 315.24667004, 499.08062821,
       358.94970394, 504.26157193, 519.26510729, 349.57726367,
       318.9333572 , 492.09022115, 441.49137508, 487.00042721,
       385.21617242, 502.50269354, 475.71541562, 454.42967914,
       385.18024907, 348.68943449, 330.87853942, 319.95437981,
       343.73565746, 343.64909839, 471.06478567, 558.63546892,
       496.19804286, 314.09039362, 344.37518616, 479.6419196 ,
       298.31544291, 445.61931794, 330.76293838, 436.29856683,
       440.51646604, 515.29709576, 380.14493986, 297.67478175,
       406.15430573, 512.46120912, 444.96470755, 490.70304747,
       765.21969682, 416.824906  , 490.16243378, 497.88519294,
       429.8096587 , 278.38484644, 294.01992483, 386.76042108,
       482.93854124, 350.61494853, 456.70730439, 458.21790438,
       395.52228461, 426.16730792, 443.24092644, 369.43917462,
       462.6403199 , 389.87494955, 433.92390925, 443.06532936,
       390.53400384, 363.97920819, 508.71038857, 392.72619084,
       426.73061369, 408.93827095, 335.63669388, 557.13582678,
       410.78785108, 380.12302183, 364.91366113, 425.99972167,
       311.46349252, 506.53391875, 478.1820276 , 407.49348918,
       409.84994175, 336.55614851, 408.00538941, 537.9290026 ,
       350.37061864, 467.35656925, 458.39582235, 440.24213381,
       384.72009387, 549.26971474, 340.41037678, 324.6459433 ,
       493.38445061, 374.40812639, 352.9878402 , 421.24849997,
       400.21354793, 514.01987825, 509.7097661 , 446.06642359,
       348.33237997, 430.72115493, 535.79604759, 460.47532137,
       353.18505006, 379.13910838, 381.28656535, 504.7984147 ,
       354.05918971, 396.56526504, 424.52021422, 570.85814084,
       256.29392059, 514.71408802, 473.34032886, 452.17375246,
       405.69616836, 377.94598352, 532.19442965, 512.23200685,
       430.88044134, 474.03279009, 452.40712431, 480.74252888,
       389.27959348, 300.50226345, 390.79056899, 351.81113024,
       413.02522069, 361.00109701, 448.04979684, 386.31915135,
       329.94607928, 362.06317805, 377.82007173, 511.12365396,
       359.99098325, 418.81854502, 377.60713681, 317.76900233,
       364.20701301, 402.7290738 , 357.68462781, 387.27143349,
       365.7694799 , 331.01842202, 334.78215024, 463.97620645,
       377.17729977, 403.45560962, 339.04550873, 355.26336484,
       392.72951692, 412.66017089, 426.64761915, 334.60844289,
       458.46605492, 313.99216529, 431.2009007 , 499.03483274,
       628.99444907, 567.84800498, 534.70145008, 401.15094752,
       304.81463747, 381.69565166, 365.76744806, 615.13963392,
       303.63592707, 411.38240261, 455.05585486, 478.71521176,
       421.31048432, 258.20990653, 512.1234402 , 434.97923183,
       429.48820252, 385.29222158, 371.42561718, 329.65744789,
       345.61155245, 472.29805956, 374.69825586, 403.40160238,
       309.72351578, 461.68651621, 360.63887645, 451.6361534 ,
       434.00830426, 432.77923351, 483.13761637, 320.73262232,
       367.3637451 , 621.30535425, 397.48472085, 380.83725427,
       432.98073247, 346.35919597, 509.80269343, 459.51074257,
       463.31388505, 492.47378933, 274.01919624, 445.09832578,
       388.68867125, 324.95710615, 442.56525081, 349.70318013,
       489.01319076, 533.61240296, 349.90500281, 302.04119066,
       505.70205004, 557.26530484, 463.2368153 , 337.91421416,
       362.72190518, 392.71118312, 562.97688256, 382.98514481,
       472.73399247, 352.25371169, 485.15295693, 491.99987448,
       586.08231894, 508.67905166, 505.27021366, 474.51862975,
       410.83032834, 393.23655206, 319.08339133, 415.03648426,
       280.41631595, 519.65697528, 398.1043131 , 450.3188171 ,
       588.78896611, 419.18404196, 309.73575715, 556.46058966,
       471.70555292, 481.66314975, 489.58159389, 416.99037178,
       444.17203361, 558.10188637, 452.44683359, 342.08936569,
       393.9363286 , 413.48066407, 347.50069166, 442.39253424,
       393.01911778, 544.46242951, 363.3159711 , 348.18450537,
       388.93116458, 364.25171231, 378.97286033, 441.19089015,
       485.02084922, 520.72693781, 358.15714263, 268.96843815,
       448.06415866, 314.75519454, 503.47298462, 455.3714792 ,
       547.86007309, 466.84834255])
In [226]:
lm.coef_
Out[226]:
array([ 6.30972453e-01, -6.76789103e-01,  4.00138976e-03,  1.45149176e-03,
        3.88967192e+01, -8.23705649e-01, -1.45561165e-01, -1.61547833e+01,
        1.63847038e-02,  5.26012748e+00,  2.20334816e-01,  3.17840191e+00,
       -3.60358557e+01, -4.93879953e+00, -1.19231557e+00,  1.27552549e+01,
        7.98748139e+00,  3.77899958e-01,  4.79224410e-02,  2.77093525e+00,
       -1.36315666e+01, -5.09883851e-01,  5.43055533e-01, -1.36747120e+00,
        2.77760256e-01,  1.14886153e+00, -1.19963159e+00,  4.52905160e-01,
       -1.69420012e+00,  2.35444555e-01, -1.51990116e-02,  7.66610437e-02,
       -6.82685220e-01, -3.51249628e-02,  4.90900825e-02, -1.51464182e+01,
       -1.17866814e+00,  2.13694813e-01, -4.95823111e-02, -8.05250516e-03,
       -1.60547605e-02, -2.42978746e+00,  7.68130752e-02,  4.35912833e+00,
        6.14352516e-01, -1.26632182e+00, -2.96673658e-01, -1.83794904e+00,
       -5.78757916e+01, -1.35022722e+00,  8.51490483e-01,  4.11416141e-01,
        4.67169115e+00,  4.78803314e-01,  1.07073670e+01, -2.69880327e-03,
       -1.54886652e-01, -4.06721705e-01,  1.68994876e+00, -3.59860679e-03,
        9.93325648e-03,  1.33719432e-02,  7.17915713e-01,  5.29923983e-01,
        5.37447841e-01, -8.62167012e-03,  1.19057148e+00])
In [227]:
lm.intercept_
Out[227]:
-611.9727334069995
In [228]:
r2_1=lm.score(tr_xtrain,tr_ytrain)
r2_1
Out[228]:
0.9152215044045977
In [229]:
adj_r2_1=1-(((1-r2_1)*(580-1))/(580-5-1)) 
adj_r2_1
Out[229]:
0.9144830157670071
In [230]:
from sklearn import metrics
In [231]:
error1=tr_ytest-pred1
error1
Out[231]:
666     -85.630526
104       7.774733
528       4.681138
18       -6.027956
1151    -18.451487
60      -45.360079
70      -55.723297
284     -13.791330
860      29.698024
327      -5.075949
786      -0.229357
191     -15.079127
218      69.590546
1276      5.133288
713      15.663608
1215     31.124319
621      -7.596187
1054     -2.901575
596      -8.230229
622       8.994350
1384    -19.839513
161      27.130283
1141      6.889230
0        -0.065876
1337    -35.690984
90        8.688430
1202    -13.802988
482     -27.333060
1292     -0.798275
194      10.447108
1224    -41.494361
1406     -5.168472
1250    -27.830050
534     -24.146514
899      -3.846666
835      16.051885
1228     33.009044
360      -7.962440
515      23.592501
2         2.444874
781       1.107470
1317     12.492427
501      16.269459
1331      6.220981
109     -35.247290
81      -21.128233
1185    -23.585663
1096      8.873457
569      -4.038847
968     -46.272467
956      -4.053385
862       3.804328
942      60.700824
543       3.239040
492      -9.827484
1039      5.525983
1131    -17.669378
142      49.807910
135     -18.735005
1197     -9.437377
909     -10.037248
880       5.072138
532      15.040398
961      -4.626909
731     -13.562380
1253     13.015653
32      -25.707842
55       10.650207
791     -13.489081
1092    -33.479269
1020     26.979078
1336     -3.329518
992     -22.301240
373      14.042172
520      46.022811
706      34.244104
509      -9.857797
1086     -5.246864
794     -18.934212
1035      7.946830
847      -1.032738
1390      4.538439
1254    -30.812448
132      -0.056821
1102      9.149544
162     -26.706692
1152     35.879434
651      -4.183062
367      17.762170
1199     10.339893
115      20.495077
774      86.594358
1084     20.015789
19       41.542568
693      17.367713
1180    -13.060391
1284    -30.411337
45       45.381235
1416      5.398638
752      15.787148
1345     28.165988
374      10.987160
1163    -21.213613
1114      3.976184
1321    -25.210404
843      29.210494
614     -14.353532
765       6.778808
256       6.815267
172      29.809814
770       3.803733
1393      8.799549
929      -4.176208
230      17.886109
783      -7.699886
1014     -0.685264
1031    -29.952915
722      18.135287
976     -16.850414
1420     24.839493
545     -26.604345
187      20.600498
940     -25.340027
1179      4.726481
134      14.635225
337      -8.848508
99       16.108923
959     -32.725094
44       14.642978
20       19.721440
1186    -66.514388
583      35.419870
224      14.102873
934     -18.204074
195      -2.004918
823      -8.844007
183      -1.041536
587       1.868764
637      -8.768508
1056    -26.532814
389      27.874482
439     -49.233022
586      12.791037
1038     -3.157321
1373     21.768729
552      -5.567428
902      -9.499934
306     -28.646477
1016    -21.904768
1320     -6.666713
677     -13.123865
759       4.216511
957      12.733505
834       2.476850
1208     -3.473821
138     -21.436554
168     -18.367833
1192    -24.348049
518      19.669676
1198      1.796744
246     -21.880868
336      38.932738
342      38.766800
1424     27.463296
304       6.984064
757      26.557190
626      24.246878
98        9.129640
1030     45.073865
1217     -4.410911
1407     -5.977184
325     -27.394262
694      21.289785
299      16.463932
1323    -28.018538
938      -9.387867
723       8.473757
1413      2.690102
1289     10.829224
680      28.576144
383     -43.252382
1166      3.237953
72      -11.375112
730      -0.687771
247     -11.050434
141       7.399258
848      14.182533
351     -18.539785
1411    -11.014510
1062    -48.689434
179     -14.650773
804      23.556901
459     -12.073178
198     -21.158788
147       0.634271
568       4.036727
1057      1.797941
489     -20.832828
307     -45.209680
768     -13.984320
225      36.348568
1116    -16.550559
1120     13.330072
699       6.420306
1006    -36.165134
157       3.836798
913       0.643715
30      -97.674782
497      22.797906
859     -12.461209
347     -48.102011
212      11.967819
1298   -365.219697
659      -8.168571
25       16.098369
1133     -8.497821
563       0.306605
1412     21.615154
729      26.916206
901       4.391723
737       6.857335
365      32.790842
1277    -11.847776
974     -48.950266
416      -8.869986
33      -19.350396
236     -12.543817
36       11.349481
605      -9.871063
295     -12.383228
1189      0.817393
334      -4.887283
407      30.179676
1255     -6.907787
1270      1.191563
857      24.406881
1271      4.256625
209     -28.149616
1443     12.213849
1312     -7.590560
668      -0.909820
1297     -5.957283
31       21.544616
252     -10.067035
242     -30.394106
726     -35.365159
114      31.229397
87       -1.907493
355      11.457547
537      -3.014547
1335      1.750636
1395     -7.633802
1077     22.188102
257       1.685007
864      42.183842
922     -27.943698
721      -6.566686
1036     12.424152
323      14.800828
1104      0.930469
412     -22.215691
493      19.292267
26       14.163355
1242     -8.937937
510       5.865262
639       0.335058
564       7.977398
652      -9.030956
1125     -9.215881
379      -7.637239
1209      2.720433
744     -36.211253
116      19.641988
841      17.723588
1427     -7.120827
753      20.082524
291      14.586982
1399    -25.822767
1387    -55.738436
185     111.893644
1090     48.501092
1369    -33.050305
1409     -9.659404
716     -52.799242
454      27.893499
23      -17.529558
608      67.055101
189      22.557671
682     -14.947754
175      18.917512
650       1.410019
824       1.543693
1026     19.988045
548      53.051127
1441     -4.396987
330      -6.847364
193     -52.470093
867      -1.835397
286     -49.301756
1078      8.522589
149       9.170420
361      18.725477
1183    -31.409910
1346      1.223884
1389      1.948238
1363    -22.672107
128      16.093257
61        0.035969
182     -17.796851
790      -2.479152
1364     21.988916
690     -11.771766
292      -3.830258
432      18.981578
353      -9.359348
1089    -20.129386
986     -35.124672
962      -9.755216
1136      5.918257
126       2.507512
354     -18.563778
63      -38.494432
137     -13.126157
1101     11.079277
1203      3.053175
210      -0.942648
103      14.781162
903      -9.136884
1046     53.757336
610      -8.383976
524      27.214914
123      -8.850043
1137      1.779557
486      13.272702
12       13.705871
1243     66.769451
125     -12.947090
758      12.173969
139      26.088614
602      -9.673636
1095     -1.272391
495     -71.394490
640      11.326653
1019     27.070549
1245     -7.587740
184     -28.921628
1421    -14.354196
352     -21.436748
1140     27.215485
1410      7.285093
254       6.090399
1040     -9.701209
1432    -55.755014
846      -0.167286
946      17.514532
567      10.965187
28       21.513375
971     -16.846547
869       2.660696
449      25.677539
1113     -0.621329
803      61.446431
778     -18.011402
954     -23.765833
1258      2.909162
801     -14.847507
1426     10.773910
1240     14.725485
1138    -20.595013
1381     -5.134072
393      42.208570
989      -1.251505
24        3.739666
551      10.453090
988      -0.977207
1349     -0.418196
1211    -84.044056
683       0.241510
1391      2.231334
127      -7.083567
1087     -3.706034
619      -4.997254
948     -24.488596
814       2.673513
698       9.433976
1083      7.288817
320      22.380273
674      -8.819406
544     -48.864909
422     -16.098985
747      30.578562
792      27.413256
585      22.111729
885      64.818987
688     120.828820
100     -21.749373
914       5.982579
715      12.965368
268      28.047708
1304    -54.481357
1122     54.247695
34        7.125712
339      -4.403919
452       1.344775
118     -23.103541
285     -13.351564
1449     -6.420739
618       4.621401
1128     -8.024628
937      21.327904
665      -9.477439
420      37.212226
739      -8.282139
745     -10.561933
1157     27.136319
1392      8.624193
467     -11.183144
1091    -13.480664
1028    -23.463657
429     -24.062521
647       0.681276
313      67.910006
1377    -21.263344
303      38.984708
576      -8.142509
643      25.620061
876     -15.310929
457      64.773535
776     -14.382984
249       5.580957
1045     15.473691
48       67.186288
933     -12.174264
555      21.399532
460       9.786209
1106    -31.225278
700      11.156921
399      24.069166
Name: Sale_Price, dtype: float64
In [232]:
aerror1=np.abs(error1)
aerror1
Out[232]:
666      85.630526
104       7.774733
528       4.681138
18        6.027956
1151     18.451487
60       45.360079
70       55.723297
284      13.791330
860      29.698024
327       5.075949
786       0.229357
191      15.079127
218      69.590546
1276      5.133288
713      15.663608
1215     31.124319
621       7.596187
1054      2.901575
596       8.230229
622       8.994350
1384     19.839513
161      27.130283
1141      6.889230
0         0.065876
1337     35.690984
90        8.688430
1202     13.802988
482      27.333060
1292      0.798275
194      10.447108
1224     41.494361
1406      5.168472
1250     27.830050
534      24.146514
899       3.846666
835      16.051885
1228     33.009044
360       7.962440
515      23.592501
2         2.444874
781       1.107470
1317     12.492427
501      16.269459
1331      6.220981
109      35.247290
81       21.128233
1185     23.585663
1096      8.873457
569       4.038847
968      46.272467
956       4.053385
862       3.804328
942      60.700824
543       3.239040
492       9.827484
1039      5.525983
1131     17.669378
142      49.807910
135      18.735005
1197      9.437377
909      10.037248
880       5.072138
532      15.040398
961       4.626909
731      13.562380
1253     13.015653
32       25.707842
55       10.650207
791      13.489081
1092     33.479269
1020     26.979078
1336      3.329518
992      22.301240
373      14.042172
520      46.022811
706      34.244104
509       9.857797
1086      5.246864
794      18.934212
1035      7.946830
847       1.032738
1390      4.538439
1254     30.812448
132       0.056821
1102      9.149544
162      26.706692
1152     35.879434
651       4.183062
367      17.762170
1199     10.339893
115      20.495077
774      86.594358
1084     20.015789
19       41.542568
693      17.367713
1180     13.060391
1284     30.411337
45       45.381235
1416      5.398638
752      15.787148
1345     28.165988
374      10.987160
1163     21.213613
1114      3.976184
1321     25.210404
843      29.210494
614      14.353532
765       6.778808
256       6.815267
172      29.809814
770       3.803733
1393      8.799549
929       4.176208
230      17.886109
783       7.699886
1014      0.685264
1031     29.952915
722      18.135287
976      16.850414
1420     24.839493
545      26.604345
187      20.600498
940      25.340027
1179      4.726481
134      14.635225
337       8.848508
99       16.108923
959      32.725094
44       14.642978
20       19.721440
1186     66.514388
583      35.419870
224      14.102873
934      18.204074
195       2.004918
823       8.844007
183       1.041536
587       1.868764
637       8.768508
1056     26.532814
389      27.874482
439      49.233022
586      12.791037
1038      3.157321
1373     21.768729
552       5.567428
902       9.499934
306      28.646477
1016     21.904768
1320      6.666713
677      13.123865
759       4.216511
957      12.733505
834       2.476850
1208      3.473821
138      21.436554
168      18.367833
1192     24.348049
518      19.669676
1198      1.796744
246      21.880868
336      38.932738
342      38.766800
1424     27.463296
304       6.984064
757      26.557190
626      24.246878
98        9.129640
1030     45.073865
1217      4.410911
1407      5.977184
325      27.394262
694      21.289785
299      16.463932
1323     28.018538
938       9.387867
723       8.473757
1413      2.690102
1289     10.829224
680      28.576144
383      43.252382
1166      3.237953
72       11.375112
730       0.687771
247      11.050434
141       7.399258
848      14.182533
351      18.539785
1411     11.014510
1062     48.689434
179      14.650773
804      23.556901
459      12.073178
198      21.158788
147       0.634271
568       4.036727
1057      1.797941
489      20.832828
307      45.209680
768      13.984320
225      36.348568
1116     16.550559
1120     13.330072
699       6.420306
1006     36.165134
157       3.836798
913       0.643715
30       97.674782
497      22.797906
859      12.461209
347      48.102011
212      11.967819
1298    365.219697
659       8.168571
25       16.098369
1133      8.497821
563       0.306605
1412     21.615154
729      26.916206
901       4.391723
737       6.857335
365      32.790842
1277     11.847776
974      48.950266
416       8.869986
33       19.350396
236      12.543817
36       11.349481
605       9.871063
295      12.383228
1189      0.817393
334       4.887283
407      30.179676
1255      6.907787
1270      1.191563
857      24.406881
1271      4.256625
209      28.149616
1443     12.213849
1312      7.590560
668       0.909820
1297      5.957283
31       21.544616
252      10.067035
242      30.394106
726      35.365159
114      31.229397
87        1.907493
355      11.457547
537       3.014547
1335      1.750636
1395      7.633802
1077     22.188102
257       1.685007
864      42.183842
922      27.943698
721       6.566686
1036     12.424152
323      14.800828
1104      0.930469
412      22.215691
493      19.292267
26       14.163355
1242      8.937937
510       5.865262
639       0.335058
564       7.977398
652       9.030956
1125      9.215881
379       7.637239
1209      2.720433
744      36.211253
116      19.641988
841      17.723588
1427      7.120827
753      20.082524
291      14.586982
1399     25.822767
1387     55.738436
185     111.893644
1090     48.501092
1369     33.050305
1409      9.659404
716      52.799242
454      27.893499
23       17.529558
608      67.055101
189      22.557671
682      14.947754
175      18.917512
650       1.410019
824       1.543693
1026     19.988045
548      53.051127
1441      4.396987
330       6.847364
193      52.470093
867       1.835397
286      49.301756
1078      8.522589
149       9.170420
361      18.725477
1183     31.409910
1346      1.223884
1389      1.948238
1363     22.672107
128      16.093257
61        0.035969
182      17.796851
790       2.479152
1364     21.988916
690      11.771766
292       3.830258
432      18.981578
353       9.359348
1089     20.129386
986      35.124672
962       9.755216
1136      5.918257
126       2.507512
354      18.563778
63       38.494432
137      13.126157
1101     11.079277
1203      3.053175
210       0.942648
103      14.781162
903       9.136884
1046     53.757336
610       8.383976
524      27.214914
123       8.850043
1137      1.779557
486      13.272702
12       13.705871
1243     66.769451
125      12.947090
758      12.173969
139      26.088614
602       9.673636
1095      1.272391
495      71.394490
640      11.326653
1019     27.070549
1245      7.587740
184      28.921628
1421     14.354196
352      21.436748
1140     27.215485
1410      7.285093
254       6.090399
1040      9.701209
1432     55.755014
846       0.167286
946      17.514532
567      10.965187
28       21.513375
971      16.846547
869       2.660696
449      25.677539
1113      0.621329
803      61.446431
778      18.011402
954      23.765833
1258      2.909162
801      14.847507
1426     10.773910
1240     14.725485
1138     20.595013
1381      5.134072
393      42.208570
989       1.251505
24        3.739666
551      10.453090
988       0.977207
1349      0.418196
1211     84.044056
683       0.241510
1391      2.231334
127       7.083567
1087      3.706034
619       4.997254
948      24.488596
814       2.673513
698       9.433976
1083      7.288817
320      22.380273
674       8.819406
544      48.864909
422      16.098985
747      30.578562
792      27.413256
585      22.111729
885      64.818987
688     120.828820
100      21.749373
914       5.982579
715      12.965368
268      28.047708
1304     54.481357
1122     54.247695
34        7.125712
339       4.403919
452       1.344775
118      23.103541
285      13.351564
1449      6.420739
618       4.621401
1128      8.024628
937      21.327904
665       9.477439
420      37.212226
739       8.282139
745      10.561933
1157     27.136319
1392      8.624193
467      11.183144
1091     13.480664
1028     23.463657
429      24.062521
647       0.681276
313      67.910006
1377     21.263344
303      38.984708
576       8.142509
643      25.620061
876      15.310929
457      64.773535
776      14.382984
249       5.580957
1045     15.473691
48       67.186288
933      12.174264
555      21.399532
460       9.786209
1106     31.225278
700      11.156921
399      24.069166
Name: Sale_Price, dtype: float64
In [233]:
mape_1=np.mean(aerror1/tr_ytest)*100
mape_1
Out[233]:
4.91264831168401
In [234]:
mae_1=metrics.mean_absolute_error(tr_ytest,pred1)
mae_1
Out[234]:
19.481809003207747
In [235]:
MSE_1=metrics.mean_squared_error(tr_ytest,pred1)
MSE_1
Out[235]:
963.6658195156024

LASSO¶

In [237]:
from sklearn.linear_model import Lasso
lasso=Lasso()
In [238]:
lasso.fit(tr_xtrain,tr_ytrain)
Out[238]:
Lasso()
In [239]:
pred2=lasso.predict(tr_xtest)
pred2
Out[239]:
array([454.83069226, 400.14724803, 288.27337318, 401.35017643,
       404.67769668, 442.75718684, 550.76199509, 435.58340957,
       402.35517005, 389.68282049, 373.25556126, 442.68723726,
       481.28732028, 395.7747477 , 331.52484817, 325.4457558 ,
       500.92300433, 512.24695476, 340.90217916, 356.43986952,
       342.30138124, 608.87143166, 430.60437633, 460.23941928,
       273.43450243, 304.399738  , 352.33990228, 412.66105282,
       351.4459264 , 344.65886678, 467.34137319, 359.44469672,
       520.45033817, 449.84837402, 373.31213718, 349.53777311,
       569.97857433, 396.4822574 , 612.50365924, 470.55523234,
       422.13695294, 445.20372591, 461.75513195, 357.15983288,
       470.95093565, 419.26890106, 341.80590317, 345.05493676,
       372.12187663, 241.04523326, 359.54435274, 386.21861817,
       350.81043506, 367.27782456, 426.13098765, 278.24561674,
       325.68295437, 355.01511236, 429.35569126, 384.91960744,
       427.5289551 , 396.67553549, 307.63304886, 521.86376875,
       445.06951273, 519.26493488, 455.23118141, 410.21679206,
       389.43883213, 392.46458826, 396.30404466, 390.7019092 ,
       447.56206229, 336.45815738, 296.28072736, 512.60181218,
       367.61264255, 299.82982413, 461.76397571, 284.36918743,
       367.19905849, 485.20622063, 438.9973539 , 383.07231534,
       362.97162195, 504.20724858, 445.33343394, 326.41413739,
       392.31281395, 373.51779536, 398.11875525, 534.08720389,
       419.11304676, 330.44175876, 303.21351565, 516.07508988,
       433.71017425, 518.4496494 , 363.61101426, 455.69674439,
       299.35010756, 459.99413406, 365.69859445, 342.5453045 ,
       267.66067683, 375.78898019, 287.35649754, 509.65007765,
       449.36452758, 457.13962366, 351.75211623, 405.06142104,
       477.87945461, 362.94648266, 407.69595218, 354.57606918,
       481.87167967, 333.44165054, 301.64298264, 400.36296742,
       506.65153891, 349.57356442, 441.38510689, 296.57144086,
       410.60592386, 474.95127397, 339.33300659, 422.23427146,
       355.21098058, 547.27356857, 325.2728174 , 544.61310588,
       602.71169452, 505.76504124, 391.83279399, 373.67656914,
       450.67552997, 355.66031738, 327.20862942, 453.42094873,
       624.45252801, 376.33877881, 351.83999574, 311.37377855,
       653.69870865, 507.38943419, 434.9326792 , 498.04850251,
       472.30368102, 402.07336589, 338.31403216, 527.44017295,
       345.43543328, 367.84643321, 369.88021731, 501.23717452,
       447.85557388, 366.22392982, 441.60422195, 426.1357205 ,
       404.49009646, 571.73385836, 285.85135699, 353.61950965,
       530.44526684, 368.53128209, 350.49845093, 279.78533483,
       371.26226049, 485.05599589, 340.31160766, 308.84808523,
       348.36833924, 386.28449089, 309.52623204, 503.6524837 ,
       354.40241463, 505.9324668 , 514.42978154, 354.78859905,
       308.41950623, 490.30953946, 442.83634482, 486.28629856,
       385.39733667, 508.27742166, 467.3577464 , 437.67139813,
       383.99835632, 366.12864554, 326.91717709, 327.27749588,
       335.64549958, 351.22503755, 470.6378737 , 544.906414  ,
       499.68066412, 311.65388843, 342.55660912, 481.31224437,
       302.42142809, 444.13784567, 322.75218445, 435.51040538,
       446.11698007, 514.98458048, 400.97806828, 292.96168628,
       404.583501  , 505.60830721, 445.90857681, 491.05607298,
       733.34952008, 411.13054974, 489.30922927, 499.89924238,
       426.08273543, 303.69140859, 299.54372392, 383.50325083,
       479.89333353, 346.56593463, 453.57433599, 435.70049204,
       390.21619624, 426.95160221, 448.5409246 , 372.86324269,
       460.81574308, 383.12514003, 434.82998557, 439.14565982,
       399.93134028, 363.07794718, 495.62413292, 393.78367951,
       417.93040689, 400.83933818, 342.88013417, 552.75543554,
       398.63923923, 378.93395553, 368.05409494, 426.39487525,
       305.94742583, 504.68202932, 470.85174378, 405.7342893 ,
       416.4085273 , 334.52468579, 410.49087758, 532.44409403,
       357.14511992, 471.92940785, 460.60912844, 439.43032613,
       384.43403889, 544.13103597, 338.29268622, 325.32402561,
       486.22887801, 372.96030155, 357.6816993 , 418.21932387,
       399.85972917, 509.50009011, 509.27113348, 446.33139301,
       333.18155391, 427.04142875, 531.01676089, 452.6707976 ,
       357.21344258, 372.39974548, 375.69186515, 499.9589946 ,
       354.06705184, 393.07837526, 432.50863163, 584.63402429,
       286.70407653, 514.59810639, 474.5696333 , 449.56822661,
       425.10654956, 373.26800643, 517.25780983, 509.80838405,
       420.39849353, 471.82777773, 450.99406988, 481.93716947,
       387.68904123, 345.0441599 , 390.47856371, 380.89739682,
       414.77372484, 361.93299755, 440.70637185, 386.42753608,
       323.70028964, 359.70207854, 369.4449369 , 499.51346959,
       357.09220619, 421.14937959, 376.95505923, 324.61628776,
       363.06606795, 405.26295255, 366.56115287, 386.56190801,
       368.31647165, 331.15497482, 332.76943921, 460.95411994,
       373.73712689, 404.51523824, 336.02663348, 353.6867101 ,
       391.67684744, 388.17434511, 449.36508927, 339.84604869,
       463.1876171 , 305.81588979, 432.52667261, 495.55090327,
       623.51222154, 563.39102437, 528.36081766, 402.15092777,
       299.42515909, 376.98101736, 361.76599439, 617.98686203,
       304.20819958, 412.39262017, 458.95328854, 477.43575538,
       424.71624575, 255.75397728, 514.48660737, 435.37903936,
       427.22037406, 353.840102  , 372.93563549, 328.63108884,
       338.98486029, 477.05905168, 376.66472854, 401.66556058,
       303.8907847 , 460.48599367, 359.39411047, 453.5228573 ,
       433.657149  , 434.66268341, 481.60685578, 317.38625248,
       370.78118874, 615.91510418, 402.88023546, 345.56379351,
       432.94606679, 337.17422442, 510.13113737, 460.44113439,
       459.39062858, 488.46671521, 268.69748602, 447.86853575,
       387.62935727, 325.98302865, 440.85727672, 386.39988042,
       473.38764629, 530.22208566, 366.81905616, 298.90664489,
       498.38305119, 547.86590894, 465.00146034, 340.8020006 ,
       358.45617674, 390.63166205, 567.28519745, 385.59561193,
       474.9913023 , 351.89083215, 478.35974715, 488.33415936,
       581.04659676, 506.60067658, 502.19529338, 472.84993375,
       409.82445269, 390.12609103, 313.33473038, 420.25301023,
       283.06358286, 521.56661205, 404.40389841, 446.24954395,
       584.22792164, 417.81393918, 305.54316588, 550.21700805,
       471.81562424, 482.05874763, 490.45090626, 437.75588025,
       446.9816998 , 552.79693806, 450.54683572, 338.54281122,
       399.2190828 , 410.74922298, 339.88262111, 442.26703851,
       392.63447706, 540.4039842 , 362.1002386 , 346.4043369 ,
       382.27305912, 368.48537273, 371.36499421, 443.27968636,
       482.96714252, 515.46820267, 339.58475442, 308.6407791 ,
       452.40386578, 311.11563964, 497.17899559, 452.3604546 ,
       546.07281748, 465.26041886])
In [240]:
r2_2=lasso.score(tr_xtrain,tr_ytrain)
r2_2
Out[240]:
0.9072869754682419
In [241]:
adj_r2_2=1-(((1-r2_2)*(580-1))/(580-5-1)) 
adj_r2_2
Out[241]:
0.9064793707249339
In [242]:
error2=tr_ytest-pred2
error2
Out[242]:
666     -95.664992
104      11.556529
528       4.984193
18       -2.602136
1151    -17.508483
60      -45.265049
70      -56.798434
284     -12.263200
860      33.477367
327      -8.566040
786      -0.428524
191     -13.735025
218      76.834530
1276      6.717488
713      27.640852
1215     28.107635
621     -11.025056
1054     -7.271708
596      -2.517782
622      10.983592
1384    -18.264346
161      33.390197
1141     13.805345
0        -3.621417
1337    -44.305718
90       27.111951
1202    -10.287275
482     -18.960659
1292    -23.574000
194      11.711727
1224    -38.389161
1406      5.246954
1250    -26.486777
534     -27.947912
899      -5.888676
835       8.233103
1228     36.069279
360      -1.513904
515      22.209662
2         2.202634
781      -2.732613
1317     11.852069
501      14.375102
1331      6.845662
109     -35.061041
81      -27.478141
1185    -17.923208
1096     11.315657
569      -3.394335
968     -46.366010
956      -7.408016
862       3.653156
942      36.487900
543      -2.586174
492     -10.456836
1039      4.597096
1131    -19.905257
142      52.415863
135     -12.222619
1197     -5.446288
909     -10.395883
880      -0.443280
532      20.238877
961      -0.327576
731     -12.056811
1253     22.952734
32      -31.084980
55       14.636124
791      -6.293951
1092    -23.005524
1020     23.219495
1336    -23.278448
992     -15.127096
373      14.255401
520      29.679393
706      36.943454
509     -14.767067
1086    -10.866159
794     -20.742434
1035      5.458347
847      -1.822540
1390     -0.438235
1254    -32.303366
132       5.193058
1102      4.451839
162     -35.165673
1152     34.249718
651       2.219397
367      13.889106
1199     11.189886
115      21.404784
774      94.403051
1084     13.899655
19       42.385279
693      26.149506
1180    -16.075090
1284    -22.614078
45       47.147380
1416    -13.611014
752      10.135844
1345     30.043274
374       8.514137
1163    -35.609213
1114     -0.492677
1321      1.597564
843      -0.289313
614     -12.583864
765       4.287662
256       6.157151
172      31.736639
770      15.535237
1393     -1.328836
929      -6.710695
230      21.761199
783      -0.879040
1014     -9.322539
1031    -38.024859
722      19.403925
976      -9.239152
1420     23.783234
545     -28.112094
187      17.849897
940     -52.926615
1179      8.387573
134      13.658145
337     -12.349934
99       19.763081
959     -28.533878
44       20.288687
20       23.077201
1186    -17.052117
583      25.474607
224      18.778450
934     -13.830086
195      -6.475817
823      -0.179581
183      -3.461934
587      14.474793
637     -22.249616
1056    -22.317713
389      28.234227
439     -44.676300
586       8.715132
1038      0.074452
1373     29.053076
552      -1.919356
902     -10.668610
306     -23.706853
1016    -21.748468
1320     -6.472557
677      -7.406190
759      11.076308
957      17.882609
834       6.252484
1208      4.285521
138     -21.654022
168     -19.486574
1192    -12.670539
518      17.743141
1198     -4.235258
246     -34.354986
336      42.616205
342       9.952632
1424     25.853810
304      12.693758
757      30.091346
626      23.533633
98        8.311871
1030     28.737740
1217     -6.040339
1407     -5.647597
325     -13.890461
694      27.796518
299      11.836094
1323    -22.298100
938     -13.959723
723      13.021047
1413      1.019207
1289     15.664550
680      23.364809
383     -32.738531
1166      5.018635
72      -12.720081
730       0.026358
247     -11.231598
141       1.624530
848      22.540202
351      -1.781504
1411     -9.832618
1062    -66.128646
179     -10.689411
804      16.233785
459      -3.983021
198     -28.734728
147       1.061183
568      17.765782
1057     -1.684680
489     -18.396322
307     -43.391103
768     -15.654645
225      32.242583
1116    -15.069087
1120     21.340826
699       7.208467
1006    -41.765648
157       4.149314
913     -20.189413
30      -92.961686
497      24.368711
859      -5.608307
347     -49.045880
212      11.614793
1298   -333.349520
659      -2.474215
25       16.951573
1133    -10.511870
563       4.033528
1412     -3.691409
729      21.392407
901       7.648893
737       9.902542
365      36.839856
1277     -8.714808
974     -26.432853
416      -3.563898
33      -20.134690
236     -17.843815
36        7.925413
605      -8.046486
295      -5.633418
1189     -0.088683
334      -0.967614
407      20.782339
1255     -6.006526
1270     14.277818
857      23.349393
1271     13.056832
209     -20.050683
1443      4.970408
1312     -3.210169
668      11.238791
1297     -4.768217
31       18.404182
252     -10.462188
242     -24.878039
726     -33.513270
114      38.559681
87       -0.148293
355       4.898961
537      -0.983084
1335     -0.734853
1395     -2.148893
1077     15.413600
257      -2.887832
864      39.970536
922     -27.131891
721      -6.280631
1036     17.562831
323      16.918519
1104      0.252386
412     -15.060118
493      20.740092
26        9.469496
1242     -5.908761
510       6.219081
639       4.854846
564       8.416031
652      -9.295925
1125      5.934945
379      -3.957513
1209      7.499720
744     -28.406729
116      15.613595
841      24.462951
1427     -1.526126
753      24.921944
291      14.579120
1399    -22.335877
1387    -63.726853
185      98.117761
1090     18.090937
1369    -32.934323
1409    -10.888709
716     -50.193716
454       8.483118
23      -12.851581
608      81.991721
189      24.981294
682      -4.465807
175      21.122524
650       2.823074
824       0.349053
1026     21.578597
548       8.509231
1441     -4.084982
330     -35.933631
193     -54.218597
867      -2.767298
286     -41.958331
1078      8.414204
149      15.416210
361      21.086577
1183    -23.034775
1346     12.834069
1389      4.847015
1363    -25.002942
128      16.745334
61       -6.811316
182     -16.655906
790      -5.013031
1364     13.112391
690     -11.062241
292      -6.377250
432      18.845025
353      -7.346637
1089    -17.107300
986     -31.684499
962     -10.814845
1136      8.937133
126       4.084166
354     -17.511109
63      -14.008606
137     -35.843627
1101      5.841672
1203     -1.668387
210       7.233627
103      13.455390
903      -5.652955
1046     59.239564
610      -3.926995
524      33.555546
123      -9.850023
1137      7.169035
486      17.987336
12       17.707325
1243     63.922223
125     -13.519363
758      11.163752
139      22.191180
602      -8.394179
1095     -4.678152
495     -68.938560
640       8.963486
1019     26.670742
1245     -5.319912
184       2.530492
1421    -15.864214
352     -20.410389
1140     33.842177
1410      2.524101
254       4.123927
1040     -7.965167
1432    -49.922283
846       1.033237
946      18.759298
567       9.078483
28       21.864530
971     -18.729997
869       4.191456
449      29.023909
1113     -4.038772
803      66.836681
778     -23.406916
954      11.507628
1258      2.943828
801      -5.662535
1426     10.445466
1240     13.795094
1138    -16.671756
1381     -1.126998
393      47.530280
989      -4.021715
24        4.798980
551       9.427168
988       0.730767
1349    -37.114896
1211    -68.418512
683       3.631827
1391    -14.682719
127      -3.949021
1087      3.612965
619       4.402142
948     -26.253241
814      -0.214273
698      13.699705
1083      9.368338
320      18.071958
674     -11.429873
544     -51.122219
422     -15.736106
747      37.371772
792      31.078971
585      27.147451
885      66.897362
688     123.903740
100     -20.080677
914       6.988455
715      16.075829
268      33.796369
1304    -59.697883
1122     51.600428
34        5.216076
339     -10.703505
452       5.414048
118     -18.542497
285     -11.981461
1449     -2.228148
618      10.864982
1128     -8.134699
937      20.932306
665     -10.346751
420      16.446718
739     -11.091805
745      -5.256985
1157     29.036317
1392     12.170747
467     -16.465899
1091    -10.749223
1028    -15.845586
429     -23.937025
647       1.065917
313      71.968451
1377    -20.047611
303      40.764877
576      -1.484404
643      21.386401
876      -7.703063
457      62.684739
776     -12.329277
249      10.839692
1045     34.046079
48       27.513947
933     -16.513971
555      25.039087
460      16.080198
1106    -28.214253
700      12.944177
399      25.657089
Name: Sale_Price, dtype: float64
In [243]:
aerror2=np.abs(error2)
aerror2
Out[243]:
666      95.664992
104      11.556529
528       4.984193
18        2.602136
1151     17.508483
60       45.265049
70       56.798434
284      12.263200
860      33.477367
327       8.566040
786       0.428524
191      13.735025
218      76.834530
1276      6.717488
713      27.640852
1215     28.107635
621      11.025056
1054      7.271708
596       2.517782
622      10.983592
1384     18.264346
161      33.390197
1141     13.805345
0         3.621417
1337     44.305718
90       27.111951
1202     10.287275
482      18.960659
1292     23.574000
194      11.711727
1224     38.389161
1406      5.246954
1250     26.486777
534      27.947912
899       5.888676
835       8.233103
1228     36.069279
360       1.513904
515      22.209662
2         2.202634
781       2.732613
1317     11.852069
501      14.375102
1331      6.845662
109      35.061041
81       27.478141
1185     17.923208
1096     11.315657
569       3.394335
968      46.366010
956       7.408016
862       3.653156
942      36.487900
543       2.586174
492      10.456836
1039      4.597096
1131     19.905257
142      52.415863
135      12.222619
1197      5.446288
909      10.395883
880       0.443280
532      20.238877
961       0.327576
731      12.056811
1253     22.952734
32       31.084980
55       14.636124
791       6.293951
1092     23.005524
1020     23.219495
1336     23.278448
992      15.127096
373      14.255401
520      29.679393
706      36.943454
509      14.767067
1086     10.866159
794      20.742434
1035      5.458347
847       1.822540
1390      0.438235
1254     32.303366
132       5.193058
1102      4.451839
162      35.165673
1152     34.249718
651       2.219397
367      13.889106
1199     11.189886
115      21.404784
774      94.403051
1084     13.899655
19       42.385279
693      26.149506
1180     16.075090
1284     22.614078
45       47.147380
1416     13.611014
752      10.135844
1345     30.043274
374       8.514137
1163     35.609213
1114      0.492677
1321      1.597564
843       0.289313
614      12.583864
765       4.287662
256       6.157151
172      31.736639
770      15.535237
1393      1.328836
929       6.710695
230      21.761199
783       0.879040
1014      9.322539
1031     38.024859
722      19.403925
976       9.239152
1420     23.783234
545      28.112094
187      17.849897
940      52.926615
1179      8.387573
134      13.658145
337      12.349934
99       19.763081
959      28.533878
44       20.288687
20       23.077201
1186     17.052117
583      25.474607
224      18.778450
934      13.830086
195       6.475817
823       0.179581
183       3.461934
587      14.474793
637      22.249616
1056     22.317713
389      28.234227
439      44.676300
586       8.715132
1038      0.074452
1373     29.053076
552       1.919356
902      10.668610
306      23.706853
1016     21.748468
1320      6.472557
677       7.406190
759      11.076308
957      17.882609
834       6.252484
1208      4.285521
138      21.654022
168      19.486574
1192     12.670539
518      17.743141
1198      4.235258
246      34.354986
336      42.616205
342       9.952632
1424     25.853810
304      12.693758
757      30.091346
626      23.533633
98        8.311871
1030     28.737740
1217      6.040339
1407      5.647597
325      13.890461
694      27.796518
299      11.836094
1323     22.298100
938      13.959723
723      13.021047
1413      1.019207
1289     15.664550
680      23.364809
383      32.738531
1166      5.018635
72       12.720081
730       0.026358
247      11.231598
141       1.624530
848      22.540202
351       1.781504
1411      9.832618
1062     66.128646
179      10.689411
804      16.233785
459       3.983021
198      28.734728
147       1.061183
568      17.765782
1057      1.684680
489      18.396322
307      43.391103
768      15.654645
225      32.242583
1116     15.069087
1120     21.340826
699       7.208467
1006     41.765648
157       4.149314
913      20.189413
30       92.961686
497      24.368711
859       5.608307
347      49.045880
212      11.614793
1298    333.349520
659       2.474215
25       16.951573
1133     10.511870
563       4.033528
1412      3.691409
729      21.392407
901       7.648893
737       9.902542
365      36.839856
1277      8.714808
974      26.432853
416       3.563898
33       20.134690
236      17.843815
36        7.925413
605       8.046486
295       5.633418
1189      0.088683
334       0.967614
407      20.782339
1255      6.006526
1270     14.277818
857      23.349393
1271     13.056832
209      20.050683
1443      4.970408
1312      3.210169
668      11.238791
1297      4.768217
31       18.404182
252      10.462188
242      24.878039
726      33.513270
114      38.559681
87        0.148293
355       4.898961
537       0.983084
1335      0.734853
1395      2.148893
1077     15.413600
257       2.887832
864      39.970536
922      27.131891
721       6.280631
1036     17.562831
323      16.918519
1104      0.252386
412      15.060118
493      20.740092
26        9.469496
1242      5.908761
510       6.219081
639       4.854846
564       8.416031
652       9.295925
1125      5.934945
379       3.957513
1209      7.499720
744      28.406729
116      15.613595
841      24.462951
1427      1.526126
753      24.921944
291      14.579120
1399     22.335877
1387     63.726853
185      98.117761
1090     18.090937
1369     32.934323
1409     10.888709
716      50.193716
454       8.483118
23       12.851581
608      81.991721
189      24.981294
682       4.465807
175      21.122524
650       2.823074
824       0.349053
1026     21.578597
548       8.509231
1441      4.084982
330      35.933631
193      54.218597
867       2.767298
286      41.958331
1078      8.414204
149      15.416210
361      21.086577
1183     23.034775
1346     12.834069
1389      4.847015
1363     25.002942
128      16.745334
61        6.811316
182      16.655906
790       5.013031
1364     13.112391
690      11.062241
292       6.377250
432      18.845025
353       7.346637
1089     17.107300
986      31.684499
962      10.814845
1136      8.937133
126       4.084166
354      17.511109
63       14.008606
137      35.843627
1101      5.841672
1203      1.668387
210       7.233627
103      13.455390
903       5.652955
1046     59.239564
610       3.926995
524      33.555546
123       9.850023
1137      7.169035
486      17.987336
12       17.707325
1243     63.922223
125      13.519363
758      11.163752
139      22.191180
602       8.394179
1095      4.678152
495      68.938560
640       8.963486
1019     26.670742
1245      5.319912
184       2.530492
1421     15.864214
352      20.410389
1140     33.842177
1410      2.524101
254       4.123927
1040      7.965167
1432     49.922283
846       1.033237
946      18.759298
567       9.078483
28       21.864530
971      18.729997
869       4.191456
449      29.023909
1113      4.038772
803      66.836681
778      23.406916
954      11.507628
1258      2.943828
801       5.662535
1426     10.445466
1240     13.795094
1138     16.671756
1381      1.126998
393      47.530280
989       4.021715
24        4.798980
551       9.427168
988       0.730767
1349     37.114896
1211     68.418512
683       3.631827
1391     14.682719
127       3.949021
1087      3.612965
619       4.402142
948      26.253241
814       0.214273
698      13.699705
1083      9.368338
320      18.071958
674      11.429873
544      51.122219
422      15.736106
747      37.371772
792      31.078971
585      27.147451
885      66.897362
688     123.903740
100      20.080677
914       6.988455
715      16.075829
268      33.796369
1304     59.697883
1122     51.600428
34        5.216076
339      10.703505
452       5.414048
118      18.542497
285      11.981461
1449      2.228148
618      10.864982
1128      8.134699
937      20.932306
665      10.346751
420      16.446718
739      11.091805
745       5.256985
1157     29.036317
1392     12.170747
467      16.465899
1091     10.749223
1028     15.845586
429      23.937025
647       1.065917
313      71.968451
1377     20.047611
303      40.764877
576       1.484404
643      21.386401
876       7.703063
457      62.684739
776      12.329277
249      10.839692
1045     34.046079
48       27.513947
933      16.513971
555      25.039087
460      16.080198
1106     28.214253
700      12.944177
399      25.657089
Name: Sale_Price, dtype: float64
In [244]:
mape_2=np.mean(aerror2/tr_ytest)*100
mape_2
Out[244]:
4.758103747056247
In [245]:
mae_2=metrics.mean_absolute_error(tr_ytest,pred2)
mae_2
Out[245]:
19.08889277995093
In [246]:
MSE_2=metrics.mean_squared_error(tr_ytest,pred2)
MSE_2
Out[246]:
889.8508092260132

RIDGE¶

In [248]:
from sklearn.linear_model import Ridge
ridge=Ridge()
In [249]:
ridge.fit(tr_xtrain,tr_ytrain)
Out[249]:
Ridge()
In [250]:
pred3=ridge.predict(tr_xtest)
pred3
Out[250]:
array([445.50195679, 403.4998045 , 288.65586304, 404.23492613,
       405.00037928, 442.96673279, 549.509255  , 435.8763567 ,
       406.53914729, 385.60907075, 372.0294082 , 444.55177302,
       488.37017251, 397.36533035, 342.86122655, 322.0872114 ,
       496.8139027 , 508.33423053, 345.09279386, 358.13834524,
       344.06595119, 614.9359877 , 436.59383408, 456.97670063,
       265.73781448, 321.01600786, 356.441194  , 421.47584379,
       331.19830998, 346.24236663, 470.43140008, 369.78098933,
       521.40425958, 447.27718298, 371.32919134, 342.86257629,
       572.11836867, 403.76782211, 611.05385958, 471.04416063,
       418.50734389, 444.14910933, 460.05378235, 358.11527151,
       470.66538167, 412.22838207, 347.07263689, 347.3343522 ,
       372.61270319, 241.9995635 , 356.73814154, 385.49365177,
       329.32179378, 361.23524556, 424.68889019, 277.3157844 ,
       323.67036607, 356.39407718, 434.98831239, 389.04947653,
       426.80749867, 392.21952396, 313.01108704, 525.12435066,
       446.90735547, 528.38403478, 450.00736233, 413.85756278,
       397.36987323, 401.87795154, 393.25643427, 373.4268638 ,
       454.38741195, 336.21336896, 281.75223633, 515.27558375,
       362.57110865, 293.18560129, 460.31776001, 279.68672254,
       366.75510125, 480.34270862, 438.24814793, 387.59280171,
       358.49119504, 495.60995429, 443.79194957, 331.89523865,
       389.29030314, 373.82069992, 398.4129293 , 540.8370471 ,
       413.66492477, 331.0321448 , 312.12159802, 512.39597011,
       440.23822747, 519.5702895 , 347.17786779, 450.13458893,
       301.09771292, 457.96292728, 354.27315065, 338.53484095,
       289.23786291, 347.41554024, 288.81032448, 507.65204157,
       448.85454252, 458.13889374, 363.5868821 , 397.6949952 ,
       475.55919768, 366.57782514, 415.38857309, 346.56056184,
       473.11414291, 334.67643059, 309.1721013 , 398.97204969,
       504.26010513, 347.04245515, 416.80250648, 299.60729496,
       409.19704681, 471.44384158, 342.15064322, 425.68981237,
       359.65490392, 549.77264506, 369.29821842, 534.91061535,
       607.75364028, 508.78572778, 387.22605998, 381.72856675,
       448.75771782, 368.48575626, 317.66235279, 456.6025796 ,
       624.73066573, 380.86559902, 347.95259097, 313.79163875,
       661.71633415, 511.12142531, 434.17658079, 502.1353257 ,
       472.60062753, 402.72706705, 343.44079305, 533.71350952,
       350.04439207, 371.29666929, 376.39831215, 502.08128409,
       447.50728054, 377.42080287, 439.84127656, 420.51715955,
       393.86349464, 575.03382048, 262.21649684, 352.35112112,
       534.78112876, 371.86824823, 350.0646523 , 277.30738026,
       357.64808319, 483.52292878, 340.58638006, 321.16374075,
       354.90425739, 381.62378313, 315.23317555, 499.69515487,
       358.01350533, 504.17145583, 519.31737659, 348.3236897 ,
       317.1860061 , 492.08637007, 441.76608426, 486.35691441,
       386.05960006, 502.32106893, 472.8235545 , 455.23727633,
       385.73483633, 350.25923089, 329.98191925, 320.54641076,
       344.02822328, 344.06051667, 471.31892877, 559.44754335,
       495.91856129, 314.35649594, 343.72352992, 479.87385423,
       297.31932969, 446.11018046, 330.39689422, 435.61470585,
       439.8796969 , 515.42888101, 382.25542654, 296.2518907 ,
       405.16680446, 511.45195693, 444.42146403, 491.22300571,
       757.96590335, 415.97493891, 489.7725122 , 498.16832984,
       428.51438542, 283.47186796, 294.93292217, 386.59100705,
       483.154774  , 350.31429622, 456.5879753 , 454.73113365,
       396.13325328, 425.7027472 , 443.70412348, 369.28633247,
       462.62598065, 390.00397   , 434.50464792, 443.46076514,
       390.64581235, 364.41382473, 510.61140443, 393.38559543,
       426.19413702, 408.87842577, 337.10777717, 556.99453293,
       409.54012023, 379.07635895, 364.84157192, 426.34287136,
       309.56242507, 506.59096494, 477.47878728, 406.70902148,
       409.62683714, 336.10302573, 407.91574162, 537.69093992,
       350.60121138, 467.21051629, 458.63002564, 440.79015715,
       384.66347705, 549.4791072 , 339.77979342, 323.35054827,
       493.34723172, 373.44906922, 353.13411045, 421.35390738,
       400.16824113, 513.33396543, 509.31858945, 446.68702558,
       347.59465803, 431.1838427 , 535.39792554, 459.94116168,
       352.83526863, 377.63390451, 380.89398534, 504.95889983,
       351.05678164, 396.10847591, 423.30388576, 571.78951778,
       261.56715906, 515.14089422, 473.13884262, 451.28437847,
       408.29247952, 376.83964219, 530.74127713, 512.09104448,
       432.19164181, 473.36890692, 452.63953398, 480.778626  ,
       389.37864555, 307.69549551, 391.02056647, 353.87209822,
       412.73393258, 360.73562435, 448.06695331, 386.752579  ,
       329.25658443, 361.48775577, 377.66124904, 509.41913622,
       360.52114037, 419.64262938, 378.35214647, 317.31022006,
       364.19181267, 402.69461789, 358.00157808, 387.43800035,
       366.1045494 , 330.74945327, 334.92164923, 464.17746974,
       377.38786874, 402.84778466, 338.95531062, 354.50154167,
       393.81407533, 409.20950677, 429.34989194, 334.55199143,
       459.01769325, 312.35624215, 431.38122207, 498.90911826,
       628.0191024 , 568.63233099, 534.44818113, 399.95887659,
       303.25706179, 381.1701609 , 365.35211905, 615.48253806,
       302.94701455, 410.92064536, 455.18208598, 478.82343684,
       421.85567694, 256.58136304, 511.64910317, 434.57519441,
       428.77923472, 382.69095392, 370.91330897, 328.56138583,
       345.45304778, 472.79489897, 374.5553019 , 401.9927141 ,
       308.25967754, 461.87172492, 360.47912688, 451.58913792,
       434.02046364, 432.51961617, 482.99641084, 320.75809393,
       367.6639604 , 619.71878607, 398.96714753, 368.63032013,
       433.64439235, 346.10828028, 510.69811213, 459.64838464,
       463.77367146, 491.44802529, 274.12584601, 445.74372855,
       388.76013942, 324.96640428, 442.1827243 , 353.3425316 ,
       487.54001157, 533.5628661 , 353.0198482 , 302.16060206,
       505.41661628, 556.57959415, 463.72729726, 338.9831196 ,
       362.34908925, 393.12595946, 562.44882456, 383.33241185,
       473.10664759, 351.36178837, 484.65693367, 491.63238413,
       586.23316561, 508.035201  , 505.28448347, 474.59434935,
       410.27852246, 392.70474293, 318.93458156, 414.58244184,
       279.8270252 , 519.07428447, 397.94179534, 450.06866626,
       587.45822809, 418.51235299, 310.04593056, 555.85415232,
       471.92529715, 481.78787778, 489.7249566 , 420.47931953,
       444.70804136, 556.56523571, 451.98114284, 342.39685598,
       394.60890426, 413.37332741, 346.80180608, 441.81195078,
       393.55912729, 544.74538902, 363.0961305 , 348.09872991,
       388.79533965, 364.27371665, 377.64053289, 442.22233965,
       484.84983123, 520.53924978, 355.00502775, 276.85976005,
       448.49313928, 315.11026315, 503.33146259, 454.7449349 ,
       547.62990728, 467.07091306])
In [251]:
r2_3=ridge.score(tr_xtrain,tr_ytrain)
r2_3
Out[251]:
0.9150678888758954
In [252]:
adj_r2_3=1-(((1-r2_3)*(580-1))/(580-5-1)) 
adj_r2_3
Out[252]:
0.9143280621239432
In [253]:
error3=tr_ytest-pred3
error3
Out[253]:
666     -86.336257
104       8.203973
528       4.601703
18       -5.486885
1151    -17.831166
60      -45.474595
70      -55.545694
284     -12.556147
860      29.293389
327      -4.492291
786       0.797629
191     -15.599561
218      69.751678
1276      5.126906
713      16.304473
1215     31.466179
621      -6.915954
1054     -3.358984
596      -6.708397
622       9.285116
1384    -20.028916
161      27.325641
1141      7.815887
0        -0.358698
1337    -36.609030
90       10.495681
1202    -14.388566
482     -27.775450
1292     -3.326384
194      10.128227
1224    -41.479188
1406     -5.089339
1250    -27.440698
534     -25.376721
899      -3.905730
835      14.908300
1228     33.929484
360      -8.799469
515      23.659462
2         1.713706
781       0.896996
1317     12.906686
501      16.076452
1331      5.890223
109     -34.775487
81      -20.437622
1185    -23.189942
1096      9.036241
569      -3.885161
968     -47.320340
956      -4.601804
862       4.378122
942      57.976541
543       3.456405
492      -9.014739
1039      5.526928
1131    -17.892669
142      51.036899
135     -17.855240
1197     -9.576157
909      -9.674426
880       4.012731
532      14.860839
961      -3.588158
731     -13.894654
1253     13.833634
32      -25.861161
55       10.995353
791     -14.224992
1092    -32.418887
1020     26.267105
1336     -6.003402
992     -21.952446
373      14.500189
520      44.207884
706      34.269683
509      -9.725533
1086     -4.221936
794     -19.296219
1035     10.140812
847      -1.378583
1390      4.425277
1254    -31.554160
132       0.672571
1102      8.932266
162     -26.568378
1152     35.791203
651      -3.261704
367      16.911617
1199     10.886981
115      21.110610
774      87.653207
1084     19.347777
19       41.794893
693      17.241424
1180    -12.395970
1284    -29.142132
45       46.026740
1416      2.822132
752      15.697999
1345     28.295669
374      10.545344
1163    -24.183769
1114      3.517787
1321    -19.979623
843      28.084127
614     -14.037691
765       6.285698
256       6.667136
172      30.737369
770       3.700471
1393      6.037590
929      -4.390438
230      18.129856
783      -8.571661
1014     -1.307032
1031    -29.267322
722      18.169145
976     -16.768271
1420     25.174152
545     -25.720661
187      20.381006
940     -28.344014
1179      5.351719
134      15.067022
337      -8.842501
99       16.945444
959     -31.989419
44       15.844763
20       20.578124
1186    -61.077518
583      35.177097
224      13.736504
934     -16.850773
195      -1.869083
823      -8.231579
183      -1.544122
587       1.649354
637     -12.703339
1056    -25.499344
389      27.956089
439     -49.203120
586      12.602537
1038     -2.343409
1373     21.035451
552      -5.651347
902      -9.912512
306     -27.793677
1016    -22.045414
1320     -7.126258
677     -12.532951
759       4.802971
957      13.273650
834       2.802248
1208     -2.232573
138     -22.498132
168     -19.138281
1192    -23.867412
518      19.506087
1198      1.383303
246     -23.728384
336      39.316243
342      33.587492
1424     27.122198
304       8.357896
757      26.754380
626      23.967432
98       10.789826
1030     42.351917
1217     -4.507271
1407     -5.922369
325     -26.206117
694      21.260600
299      16.496802
1323    -28.005043
938     -10.002394
723       9.409956
1413      2.780218
1289     10.776955
680      29.829718
383     -41.505031
1166      3.241804
72      -11.649821
730      -0.044258
247     -11.893861
141       7.580882
848      17.074394
351     -19.347382
1411    -11.569098
1062    -50.259231
179     -13.754153
804      22.964870
459     -12.365744
198     -21.570207
147       0.380128
568       3.224653
1057      2.077423
489     -21.098930
307     -44.558024
768     -14.216255
225      37.344681
1116    -17.041421
1120     13.696116
699       7.104167
1006    -35.528365
157       3.705013
913      -1.466771
30      -96.251891
497      23.785407
859     -11.451957
347     -47.558767
212      11.447861
1298   -357.965903
659      -7.318604
25       16.488290
1133     -8.780958
563       1.601878
1412     16.528132
729      26.003209
901       4.561137
737       6.641102
365      33.091494
1277    -11.728447
974     -45.463495
416      -9.480955
33      -18.885835
236     -13.007014
36       11.502323
605      -9.856724
295     -12.512248
1189      0.236654
334      -5.282719
407      30.067867
1255     -7.342403
1270     -0.709453
857      23.747477
1271      4.793102
209     -28.089770
1443     10.742765
1312     -7.449266
668       0.337910
1297     -4.910620
31       21.616705
252     -10.410184
242     -28.493039
726     -35.422205
114      31.932638
87       -1.123026
355      11.680652
537      -2.561424
1335      1.840283
1395     -7.395739
1077     21.957509
257       1.831060
864      41.949638
922     -28.491722
721      -6.510069
1036     12.214760
323      15.431411
1104      2.225864
412     -22.178472
493      20.251324
26       14.017085
1242     -9.043345
510       5.910569
639       1.020970
564       8.368575
652      -9.651558
1125     -8.478159
379      -8.099927
1209      3.118555
744     -35.677093
116      19.991769
841      19.228792
1427     -6.728247
753      19.922039
291      17.589390
1399    -25.365978
1387    -54.522107
185     110.962267
1090     43.227854
1369    -33.477111
1409     -9.457918
716     -51.909868
454      25.297188
23      -16.423216
608      68.508254
189      22.698634
682     -16.258955
175      19.581395
650       1.177610
824       1.507596
1026     19.888993
548      45.857895
1441     -4.626985
330      -8.908332
193     -52.178805
867      -1.569924
286     -49.318913
1078      8.089161
149       9.859915
361      19.300900
1183    -31.251088
1346      2.928402
1389      1.418081
1363    -23.496192
128      15.348247
61        0.494752
182     -17.781651
790      -2.444696
1364     21.671966
690     -11.938333
292      -4.165328
432      19.250547
353      -9.498847
1089    -20.330649
986     -35.335241
962      -9.147391
1136      6.008456
126       3.269335
354     -19.648337
63      -35.043768
137     -15.828429
1101     11.135729
1203      2.501537
210       0.693275
103      14.600840
903      -9.011170
1046     54.732683
610      -9.168302
524      27.468183
123      -7.657972
1137      3.337133
486      13.798192
12       14.121200
1243     66.426547
125     -12.258177
758      12.635726
139      25.962383
602      -9.781861
1095     -1.817583
495     -69.765946
640      11.800990
1019     27.474586
1245     -6.878773
184     -26.320360
1421    -13.841888
352     -20.340686
1140     27.373990
1410      6.788253
254       6.233353
1040     -8.292320
1432    -54.291176
846      -0.352495
946      17.674281
567      11.012202
28       21.501215
971     -16.586929
869       2.801901
449      25.652068
1113     -0.921544
803      63.032999
778     -19.493828
954     -11.558899
1258      2.245502
801     -14.596591
1426      9.878491
1240     14.587843
1138    -21.054799
1381     -4.108308
393      42.101920
989      -1.896908
24        3.668198
551      10.443792
988      -0.594681
1349     -4.057548
1211    -82.570877
683       0.291046
1391     -0.883511
127      -7.202978
1087     -3.420600
619      -4.311543
948     -24.979078
814       1.604608
698       9.806792
1083      6.874041
320      22.908331
674      -9.166673
544     -49.237564
422     -15.207062
747      31.074586
792      27.780746
585      21.960882
885      65.462837
688     120.814550
100     -21.825092
914       6.534385
715      13.497177
268      28.196518
1304    -54.027314
1122     54.836985
34        7.708403
339      -4.241402
452       1.594925
118     -21.772803
285     -12.679875
1449     -6.730913
618       5.227838
1128     -8.244372
937      21.203176
665      -9.620801
420      33.723278
739      -8.818147
745      -9.025283
1157     27.602009
1392      8.316702
467     -11.855720
1091    -13.373327
1028    -22.764771
429     -23.481938
647       0.141266
313      67.627047
1377    -21.043503
303      39.070484
576      -8.006684
643      25.598057
876     -13.978602
457      63.742086
776     -14.211966
249       5.768645
1045     18.625806
48       59.294966
933     -12.603245
555      21.044463
460       9.927731
1106    -30.598734
700      11.387087
399      23.846595
Name: Sale_Price, dtype: float64
In [254]:
aerror3=np.abs(error3)
aerror3
Out[254]:
666      86.336257
104       8.203973
528       4.601703
18        5.486885
1151     17.831166
60       45.474595
70       55.545694
284      12.556147
860      29.293389
327       4.492291
786       0.797629
191      15.599561
218      69.751678
1276      5.126906
713      16.304473
1215     31.466179
621       6.915954
1054      3.358984
596       6.708397
622       9.285116
1384     20.028916
161      27.325641
1141      7.815887
0         0.358698
1337     36.609030
90       10.495681
1202     14.388566
482      27.775450
1292      3.326384
194      10.128227
1224     41.479188
1406      5.089339
1250     27.440698
534      25.376721
899       3.905730
835      14.908300
1228     33.929484
360       8.799469
515      23.659462
2         1.713706
781       0.896996
1317     12.906686
501      16.076452
1331      5.890223
109      34.775487
81       20.437622
1185     23.189942
1096      9.036241
569       3.885161
968      47.320340
956       4.601804
862       4.378122
942      57.976541
543       3.456405
492       9.014739
1039      5.526928
1131     17.892669
142      51.036899
135      17.855240
1197      9.576157
909       9.674426
880       4.012731
532      14.860839
961       3.588158
731      13.894654
1253     13.833634
32       25.861161
55       10.995353
791      14.224992
1092     32.418887
1020     26.267105
1336      6.003402
992      21.952446
373      14.500189
520      44.207884
706      34.269683
509       9.725533
1086      4.221936
794      19.296219
1035     10.140812
847       1.378583
1390      4.425277
1254     31.554160
132       0.672571
1102      8.932266
162      26.568378
1152     35.791203
651       3.261704
367      16.911617
1199     10.886981
115      21.110610
774      87.653207
1084     19.347777
19       41.794893
693      17.241424
1180     12.395970
1284     29.142132
45       46.026740
1416      2.822132
752      15.697999
1345     28.295669
374      10.545344
1163     24.183769
1114      3.517787
1321     19.979623
843      28.084127
614      14.037691
765       6.285698
256       6.667136
172      30.737369
770       3.700471
1393      6.037590
929       4.390438
230      18.129856
783       8.571661
1014      1.307032
1031     29.267322
722      18.169145
976      16.768271
1420     25.174152
545      25.720661
187      20.381006
940      28.344014
1179      5.351719
134      15.067022
337       8.842501
99       16.945444
959      31.989419
44       15.844763
20       20.578124
1186     61.077518
583      35.177097
224      13.736504
934      16.850773
195       1.869083
823       8.231579
183       1.544122
587       1.649354
637      12.703339
1056     25.499344
389      27.956089
439      49.203120
586      12.602537
1038      2.343409
1373     21.035451
552       5.651347
902       9.912512
306      27.793677
1016     22.045414
1320      7.126258
677      12.532951
759       4.802971
957      13.273650
834       2.802248
1208      2.232573
138      22.498132
168      19.138281
1192     23.867412
518      19.506087
1198      1.383303
246      23.728384
336      39.316243
342      33.587492
1424     27.122198
304       8.357896
757      26.754380
626      23.967432
98       10.789826
1030     42.351917
1217      4.507271
1407      5.922369
325      26.206117
694      21.260600
299      16.496802
1323     28.005043
938      10.002394
723       9.409956
1413      2.780218
1289     10.776955
680      29.829718
383      41.505031
1166      3.241804
72       11.649821
730       0.044258
247      11.893861
141       7.580882
848      17.074394
351      19.347382
1411     11.569098
1062     50.259231
179      13.754153
804      22.964870
459      12.365744
198      21.570207
147       0.380128
568       3.224653
1057      2.077423
489      21.098930
307      44.558024
768      14.216255
225      37.344681
1116     17.041421
1120     13.696116
699       7.104167
1006     35.528365
157       3.705013
913       1.466771
30       96.251891
497      23.785407
859      11.451957
347      47.558767
212      11.447861
1298    357.965903
659       7.318604
25       16.488290
1133      8.780958
563       1.601878
1412     16.528132
729      26.003209
901       4.561137
737       6.641102
365      33.091494
1277     11.728447
974      45.463495
416       9.480955
33       18.885835
236      13.007014
36       11.502323
605       9.856724
295      12.512248
1189      0.236654
334       5.282719
407      30.067867
1255      7.342403
1270      0.709453
857      23.747477
1271      4.793102
209      28.089770
1443     10.742765
1312      7.449266
668       0.337910
1297      4.910620
31       21.616705
252      10.410184
242      28.493039
726      35.422205
114      31.932638
87        1.123026
355      11.680652
537       2.561424
1335      1.840283
1395      7.395739
1077     21.957509
257       1.831060
864      41.949638
922      28.491722
721       6.510069
1036     12.214760
323      15.431411
1104      2.225864
412      22.178472
493      20.251324
26       14.017085
1242      9.043345
510       5.910569
639       1.020970
564       8.368575
652       9.651558
1125      8.478159
379       8.099927
1209      3.118555
744      35.677093
116      19.991769
841      19.228792
1427      6.728247
753      19.922039
291      17.589390
1399     25.365978
1387     54.522107
185     110.962267
1090     43.227854
1369     33.477111
1409      9.457918
716      51.909868
454      25.297188
23       16.423216
608      68.508254
189      22.698634
682      16.258955
175      19.581395
650       1.177610
824       1.507596
1026     19.888993
548      45.857895
1441      4.626985
330       8.908332
193      52.178805
867       1.569924
286      49.318913
1078      8.089161
149       9.859915
361      19.300900
1183     31.251088
1346      2.928402
1389      1.418081
1363     23.496192
128      15.348247
61        0.494752
182      17.781651
790       2.444696
1364     21.671966
690      11.938333
292       4.165328
432      19.250547
353       9.498847
1089     20.330649
986      35.335241
962       9.147391
1136      6.008456
126       3.269335
354      19.648337
63       35.043768
137      15.828429
1101     11.135729
1203      2.501537
210       0.693275
103      14.600840
903       9.011170
1046     54.732683
610       9.168302
524      27.468183
123       7.657972
1137      3.337133
486      13.798192
12       14.121200
1243     66.426547
125      12.258177
758      12.635726
139      25.962383
602       9.781861
1095      1.817583
495      69.765946
640      11.800990
1019     27.474586
1245      6.878773
184      26.320360
1421     13.841888
352      20.340686
1140     27.373990
1410      6.788253
254       6.233353
1040      8.292320
1432     54.291176
846       0.352495
946      17.674281
567      11.012202
28       21.501215
971      16.586929
869       2.801901
449      25.652068
1113      0.921544
803      63.032999
778      19.493828
954      11.558899
1258      2.245502
801      14.596591
1426      9.878491
1240     14.587843
1138     21.054799
1381      4.108308
393      42.101920
989       1.896908
24        3.668198
551      10.443792
988       0.594681
1349      4.057548
1211     82.570877
683       0.291046
1391      0.883511
127       7.202978
1087      3.420600
619       4.311543
948      24.979078
814       1.604608
698       9.806792
1083      6.874041
320      22.908331
674       9.166673
544      49.237564
422      15.207062
747      31.074586
792      27.780746
585      21.960882
885      65.462837
688     120.814550
100      21.825092
914       6.534385
715      13.497177
268      28.196518
1304     54.027314
1122     54.836985
34        7.708403
339       4.241402
452       1.594925
118      21.772803
285      12.679875
1449      6.730913
618       5.227838
1128      8.244372
937      21.203176
665       9.620801
420      33.723278
739       8.818147
745       9.025283
1157     27.602009
1392      8.316702
467      11.855720
1091     13.373327
1028     22.764771
429      23.481938
647       0.141266
313      67.627047
1377     21.043503
303      39.070484
576       8.006684
643      25.598057
876      13.978602
457      63.742086
776      14.211966
249       5.768645
1045     18.625806
48       59.294966
933      12.603245
555      21.044463
460       9.927731
1106     30.598734
700      11.387087
399      23.846595
Name: Sale_Price, dtype: float64
In [255]:
mape_3=np.mean(aerror3/tr_ytest)*100
mape_3
Out[255]:
4.872450468115326
In [256]:
mae_3=metrics.mean_absolute_error(tr_ytest,pred3)
mae_3
Out[256]:
19.35835585341371
In [257]:
MSE_3=metrics.mean_squared_error(tr_ytest,pred3)
MSE_3
Out[257]:
938.9490459593164

ELASTIC-NET¶

In [259]:
from sklearn.linear_model import ElasticNet
enet=ElasticNet()
In [260]:
enet.fit(tr_xtrain,tr_ytrain)
Out[260]:
ElasticNet()
In [261]:
pred4=enet.predict(tr_xtest)
In [262]:
r2_4=enet.score(tr_xtrain,tr_ytrain)
r2_4
Out[262]:
0.9012473966036196
In [263]:
adj_r2_4=1-(((1-r2_4)*(580-1))/(580-5-1)) 
adj_r2_4
Out[263]:
0.9003871822883202
In [264]:
error4=tr_ytest-pred4
error4
Out[264]:
666     -99.464098
104      14.682093
528       6.232204
18      -10.157005
1151    -23.168585
60      -49.113797
70      -55.770972
284     -21.340893
860      39.312503
327     -10.439036
786      -5.950052
191      -1.352135
218      86.378336
1276     13.965236
713      21.458735
1215     23.953066
621     -16.908096
1054     -4.689506
596       6.762290
622      10.132605
1384    -15.721982
161      35.343389
1141     11.105828
0        -4.531602
1337    -49.972645
90       26.677998
1202    -12.675009
482      -5.688803
1292    -35.407324
194      12.449170
1224    -37.004698
1406      4.494951
1250    -28.253565
534     -19.247943
899      -9.417695
835       5.956902
1228     40.539665
360       1.922067
515      32.711264
2         2.144085
781      -8.239419
1317     10.832937
501      13.006675
1331      5.041860
109     -38.998120
81      -30.723740
1185    -13.387774
1096     15.336323
569      -6.375994
968     -52.149166
956      -1.539947
862       4.303981
942      22.393758
543       3.396317
492     -14.116800
1039     -6.405988
1131    -21.416718
142      49.009083
135      -5.148148
1197     -1.531270
909     -12.768688
880      -6.028647
532      27.369332
961      -7.248320
731     -12.747799
1253     23.166609
32      -25.090321
55       14.871728
791      -2.663077
1092    -22.236958
1020      9.634836
1336    -32.642810
992     -10.992050
373      19.599649
520      30.262321
706      35.375343
509     -15.773662
1086    -19.629516
794     -21.334475
1035     -2.145299
847      -0.899562
1390     -1.366542
1254    -31.348341
132      -0.725931
1102      0.359057
162     -38.465749
1152     35.078682
651      -3.833951
367       9.157067
1199      2.512556
115      19.242088
774      95.852513
1084     14.130640
19       44.882050
693      22.081986
1180    -21.648907
1284    -25.328791
45       50.152075
1416    -25.143480
752       4.980389
1345     19.017229
374       7.915432
1163    -50.126933
1114     -3.853485
1321      0.976723
843      -7.943869
614     -15.615677
765      10.087926
256      -1.429944
172      36.614806
770       9.126385
1393     -3.113064
929      -9.405000
230      24.070786
783      -5.178530
1014     -5.114490
1031    -40.283319
722      18.771944
976      -7.454320
1420     29.211315
545     -26.184369
187      24.327629
940     -54.643399
1179     19.148472
134      11.074449
337     -15.047034
99       13.732566
959     -27.165663
44       21.544768
20       23.113503
1186    -29.988628
583      39.573513
224      27.078459
934      -7.935605
195      -2.456689
823       4.174651
183      -4.995673
587      12.567795
637     -29.737001
1056    -23.386722
389      33.950260
439     -35.009347
586      15.916564
1038     -7.521508
1373     36.769015
552       1.315962
902      -8.247931
306     -22.051633
1016    -21.218411
1320     -8.099130
677      -3.057492
759      12.516001
957      16.247899
834       7.011832
1208      5.106910
138     -12.405549
168     -19.954699
1192    -11.482149
518      13.225254
1198     -1.762701
246     -30.583497
336      47.994660
342       3.619095
1424     23.500273
304      12.724480
757      34.464207
626      21.462032
98       10.539074
1030     28.175136
1217     -0.165093
1407     -5.273849
325      -8.189650
694      25.949455
299      17.571008
1323    -21.973745
938     -14.739617
723       1.663054
1413      1.485440
1289     18.526256
680      24.496708
383     -18.921277
1166      8.350402
72      -11.671759
730       2.129158
247      -7.922209
141      -2.920082
848      23.710447
351      -2.773723
1411     -3.601605
1062    -69.601465
179     -15.972452
804      18.489873
459     -10.243858
198     -24.305269
147      -2.003475
568      23.925794
1057      0.404007
489     -24.790746
307     -31.698333
768     -21.461765
225      27.088504
1116     -6.301070
1120     25.616997
699       5.390237
1006    -49.356297
157       7.633639
913     -15.016263
30      -94.950304
497      30.659294
859     -12.432958
347     -44.164804
212      10.565228
1298   -338.950535
659      -7.289285
25       22.697212
1133     -9.317718
563      10.901299
1412     -2.997262
729      19.974689
901       0.548892
737      16.998442
365      43.776322
1277    -14.394733
974     -19.607525
416       3.080524
33      -25.986460
236     -18.879632
36        3.210430
605      -1.768900
295      -2.323968
1189      1.072679
334      -2.708381
407      23.423924
1255      0.524314
1270     16.412629
857      23.925901
1271     17.087866
209      -6.363617
1443     15.368791
1312     -3.023952
668      11.103340
1297     -5.723265
31        8.446801
252     -18.410435
242     -29.780711
726     -31.633877
114      30.955702
87       -5.369167
355       5.676127
537      -6.228146
1335     -1.378489
1395      0.031242
1077     12.216767
257      -3.323721
864      37.505443
922     -32.853662
721      -7.545939
1036     25.017721
323       1.085819
1104     -1.129190
412     -19.984546
493      18.934292
26        9.730052
1242      4.600877
510       5.153271
639      12.754525
564       4.227098
652      -8.374928
1125      6.930331
379      -8.451452
1209      6.611920
744     -24.237593
116      12.328874
841      23.166350
1427     -2.432220
753      28.805506
291      11.126420
1399    -26.677895
1387    -66.788536
185     117.856251
1090     10.814118
1369    -29.210435
1409     -8.628874
716     -50.036724
454      -0.249357
23      -10.472497
608      84.152166
189      21.827468
682      -9.569771
175      21.837123
650       4.650676
824       6.375797
1026     19.778781
548       8.471616
1441     -4.821271
330     -48.379329
193     -52.758992
867     -11.498792
286     -41.544491
1078      8.507019
149      10.303098
361      13.729209
1183    -21.805616
1346     15.718420
1389     15.899038
1363    -27.665544
128      21.634429
61       -8.070051
182     -21.092556
790      -1.167426
1364     19.138480
690     -11.975941
292     -14.441987
432      21.044004
353       1.670615
1089    -11.353551
986     -30.851970
962      -9.184673
1136     13.190740
126       8.091834
354     -23.667209
63       -7.283125
137     -30.860464
1101      1.971608
1203     -4.121217
210      15.326569
103      20.063294
903      -7.114576
1046     56.887919
610       5.125229
524      29.452644
123     -13.430215
1137     11.945912
486      21.947777
12       13.957576
1243     74.138191
125       2.261665
758      14.715073
139      17.717865
602      -3.210841
1095     -9.467540
495     -63.553420
640       7.888340
1019     25.422226
1245     -5.763078
184       6.110704
1421    -13.481274
352     -11.069881
1140     39.128040
1410      1.766210
254       0.658124
1040    -14.697415
1432    -52.678979
846       1.136972
946      16.417593
567       5.682483
28       11.340233
971     -20.861091
869       2.100389
449      12.105779
1113     -9.096486
803      63.340078
778     -26.786296
954      18.802488
1258      3.636583
801     -10.780251
1426      6.889065
1240     13.884262
1138    -19.471551
1381      1.859180
393      52.454783
989      -3.149626
24        3.275375
551      10.360882
988      -0.295388
1349    -25.817294
1211    -57.822482
683      15.353604
1391    -11.973281
127       3.067011
1087     10.273965
619       7.627755
948     -26.250332
814       0.565807
698      14.360736
1083     11.997100
320      25.080461
674      -7.741032
544     -46.751003
422     -10.944770
747      42.129754
792      28.141501
585      27.298015
885      73.691685
688     127.850219
100     -20.794743
914       2.311762
715      18.025874
268      41.946227
1304    -58.764971
1122     43.679579
34       11.057538
339      -7.184957
452      -2.767801
118     -25.028784
285     -10.848899
1449      1.717940
618      16.511096
1128    -10.942919
937      16.681740
665      -9.280699
420      27.905722
739     -12.261111
745       4.017040
1157     27.426088
1392      9.609620
467     -20.627348
1091     -8.181117
1028    -17.982490
429     -27.939969
647       7.396837
313      73.224272
1377    -17.238511
303      47.213563
576       7.848259
643      25.211810
876     -13.222308
457      55.622510
776     -12.994264
249       6.990677
1045     31.196103
48       13.430372
933     -18.748008
555      27.923465
460      17.505998
1106    -26.776239
700      15.194966
399      23.561386
Name: Sale_Price, dtype: float64
In [265]:
aerror4=np.abs(error4)
aerror4
Out[265]:
666      99.464098
104      14.682093
528       6.232204
18       10.157005
1151     23.168585
60       49.113797
70       55.770972
284      21.340893
860      39.312503
327      10.439036
786       5.950052
191       1.352135
218      86.378336
1276     13.965236
713      21.458735
1215     23.953066
621      16.908096
1054      4.689506
596       6.762290
622      10.132605
1384     15.721982
161      35.343389
1141     11.105828
0         4.531602
1337     49.972645
90       26.677998
1202     12.675009
482       5.688803
1292     35.407324
194      12.449170
1224     37.004698
1406      4.494951
1250     28.253565
534      19.247943
899       9.417695
835       5.956902
1228     40.539665
360       1.922067
515      32.711264
2         2.144085
781       8.239419
1317     10.832937
501      13.006675
1331      5.041860
109      38.998120
81       30.723740
1185     13.387774
1096     15.336323
569       6.375994
968      52.149166
956       1.539947
862       4.303981
942      22.393758
543       3.396317
492      14.116800
1039      6.405988
1131     21.416718
142      49.009083
135       5.148148
1197      1.531270
909      12.768688
880       6.028647
532      27.369332
961       7.248320
731      12.747799
1253     23.166609
32       25.090321
55       14.871728
791       2.663077
1092     22.236958
1020      9.634836
1336     32.642810
992      10.992050
373      19.599649
520      30.262321
706      35.375343
509      15.773662
1086     19.629516
794      21.334475
1035      2.145299
847       0.899562
1390      1.366542
1254     31.348341
132       0.725931
1102      0.359057
162      38.465749
1152     35.078682
651       3.833951
367       9.157067
1199      2.512556
115      19.242088
774      95.852513
1084     14.130640
19       44.882050
693      22.081986
1180     21.648907
1284     25.328791
45       50.152075
1416     25.143480
752       4.980389
1345     19.017229
374       7.915432
1163     50.126933
1114      3.853485
1321      0.976723
843       7.943869
614      15.615677
765      10.087926
256       1.429944
172      36.614806
770       9.126385
1393      3.113064
929       9.405000
230      24.070786
783       5.178530
1014      5.114490
1031     40.283319
722      18.771944
976       7.454320
1420     29.211315
545      26.184369
187      24.327629
940      54.643399
1179     19.148472
134      11.074449
337      15.047034
99       13.732566
959      27.165663
44       21.544768
20       23.113503
1186     29.988628
583      39.573513
224      27.078459
934       7.935605
195       2.456689
823       4.174651
183       4.995673
587      12.567795
637      29.737001
1056     23.386722
389      33.950260
439      35.009347
586      15.916564
1038      7.521508
1373     36.769015
552       1.315962
902       8.247931
306      22.051633
1016     21.218411
1320      8.099130
677       3.057492
759      12.516001
957      16.247899
834       7.011832
1208      5.106910
138      12.405549
168      19.954699
1192     11.482149
518      13.225254
1198      1.762701
246      30.583497
336      47.994660
342       3.619095
1424     23.500273
304      12.724480
757      34.464207
626      21.462032
98       10.539074
1030     28.175136
1217      0.165093
1407      5.273849
325       8.189650
694      25.949455
299      17.571008
1323     21.973745
938      14.739617
723       1.663054
1413      1.485440
1289     18.526256
680      24.496708
383      18.921277
1166      8.350402
72       11.671759
730       2.129158
247       7.922209
141       2.920082
848      23.710447
351       2.773723
1411      3.601605
1062     69.601465
179      15.972452
804      18.489873
459      10.243858
198      24.305269
147       2.003475
568      23.925794
1057      0.404007
489      24.790746
307      31.698333
768      21.461765
225      27.088504
1116      6.301070
1120     25.616997
699       5.390237
1006     49.356297
157       7.633639
913      15.016263
30       94.950304
497      30.659294
859      12.432958
347      44.164804
212      10.565228
1298    338.950535
659       7.289285
25       22.697212
1133      9.317718
563      10.901299
1412      2.997262
729      19.974689
901       0.548892
737      16.998442
365      43.776322
1277     14.394733
974      19.607525
416       3.080524
33       25.986460
236      18.879632
36        3.210430
605       1.768900
295       2.323968
1189      1.072679
334       2.708381
407      23.423924
1255      0.524314
1270     16.412629
857      23.925901
1271     17.087866
209       6.363617
1443     15.368791
1312      3.023952
668      11.103340
1297      5.723265
31        8.446801
252      18.410435
242      29.780711
726      31.633877
114      30.955702
87        5.369167
355       5.676127
537       6.228146
1335      1.378489
1395      0.031242
1077     12.216767
257       3.323721
864      37.505443
922      32.853662
721       7.545939
1036     25.017721
323       1.085819
1104      1.129190
412      19.984546
493      18.934292
26        9.730052
1242      4.600877
510       5.153271
639      12.754525
564       4.227098
652       8.374928
1125      6.930331
379       8.451452
1209      6.611920
744      24.237593
116      12.328874
841      23.166350
1427      2.432220
753      28.805506
291      11.126420
1399     26.677895
1387     66.788536
185     117.856251
1090     10.814118
1369     29.210435
1409      8.628874
716      50.036724
454       0.249357
23       10.472497
608      84.152166
189      21.827468
682       9.569771
175      21.837123
650       4.650676
824       6.375797
1026     19.778781
548       8.471616
1441      4.821271
330      48.379329
193      52.758992
867      11.498792
286      41.544491
1078      8.507019
149      10.303098
361      13.729209
1183     21.805616
1346     15.718420
1389     15.899038
1363     27.665544
128      21.634429
61        8.070051
182      21.092556
790       1.167426
1364     19.138480
690      11.975941
292      14.441987
432      21.044004
353       1.670615
1089     11.353551
986      30.851970
962       9.184673
1136     13.190740
126       8.091834
354      23.667209
63        7.283125
137      30.860464
1101      1.971608
1203      4.121217
210      15.326569
103      20.063294
903       7.114576
1046     56.887919
610       5.125229
524      29.452644
123      13.430215
1137     11.945912
486      21.947777
12       13.957576
1243     74.138191
125       2.261665
758      14.715073
139      17.717865
602       3.210841
1095      9.467540
495      63.553420
640       7.888340
1019     25.422226
1245      5.763078
184       6.110704
1421     13.481274
352      11.069881
1140     39.128040
1410      1.766210
254       0.658124
1040     14.697415
1432     52.678979
846       1.136972
946      16.417593
567       5.682483
28       11.340233
971      20.861091
869       2.100389
449      12.105779
1113      9.096486
803      63.340078
778      26.786296
954      18.802488
1258      3.636583
801      10.780251
1426      6.889065
1240     13.884262
1138     19.471551
1381      1.859180
393      52.454783
989       3.149626
24        3.275375
551      10.360882
988       0.295388
1349     25.817294
1211     57.822482
683      15.353604
1391     11.973281
127       3.067011
1087     10.273965
619       7.627755
948      26.250332
814       0.565807
698      14.360736
1083     11.997100
320      25.080461
674       7.741032
544      46.751003
422      10.944770
747      42.129754
792      28.141501
585      27.298015
885      73.691685
688     127.850219
100      20.794743
914       2.311762
715      18.025874
268      41.946227
1304     58.764971
1122     43.679579
34       11.057538
339       7.184957
452       2.767801
118      25.028784
285      10.848899
1449      1.717940
618      16.511096
1128     10.942919
937      16.681740
665       9.280699
420      27.905722
739      12.261111
745       4.017040
1157     27.426088
1392      9.609620
467      20.627348
1091      8.181117
1028     17.982490
429      27.939969
647       7.396837
313      73.224272
1377     17.238511
303      47.213563
576       7.848259
643      25.211810
876      13.222308
457      55.622510
776      12.994264
249       6.990677
1045     31.196103
48       13.430372
933      18.748008
555      27.923465
460      17.505998
1106     26.776239
700      15.194966
399      23.561386
Name: Sale_Price, dtype: float64
In [266]:
mape_4=np.mean(aerror4/tr_ytest)*100
mape_4
Out[266]:
4.860218513176651
In [267]:
mae_4=metrics.mean_absolute_error(tr_ytest,pred4)
mae_4
Out[267]:
19.60459943826773
In [268]:
MSE_4=metrics.mean_squared_error(tr_ytest,pred4)
MSE_4
Out[268]:
940.5263132466526

RANDOM FOREST REGRESSOR¶

In [269]:
from sklearn.ensemble import RandomForestRegressor
rf = RandomForestRegressor()
In [270]:
rf.fit(tr_xtrain,tr_ytrain)
Out[270]:
RandomForestRegressor()
In [271]:
pred5=rf.predict(tr_xtest)
In [272]:
r2_5=rf.score(tr_xtrain,tr_ytrain)
r2_5
Out[272]:
0.9832628468583674
In [273]:
adj_r2_5=1-(((1-r2_5)*(580-1))/(580-5-1)) 
adj_r2_5
Out[273]:
0.9831170528414542
In [274]:
error5=tr_ytest-pred5
error5
Out[274]:
666     -83.180424
104      -4.770165
528      -8.219275
18        9.630836
1151    -22.372726
60       -1.699465
70      -41.076693
284      -6.641923
860      23.511960
327      -5.496559
786       7.590293
191      10.104186
218      97.296902
1276     -4.217937
713      16.216908
1215     14.016066
621      44.035636
1054     10.234624
596      -5.350174
622      -4.605557
1384    -14.417346
161      28.709872
1141     26.896916
0         6.754403
1337    -47.530109
90       15.106868
1202    -18.080034
482     -35.213129
1292    -29.976307
194      10.384434
1224    -11.764404
1406     -0.897604
1250    -27.615841
534     -32.692696
899       0.387742
835      -7.746134
1228     10.739070
360      19.073907
515      28.778936
2        15.345252
781      -3.249163
1317     16.729865
501      18.752943
1331     -8.780880
109       0.942313
81      -10.928294
1185    -22.460737
1096      2.249335
569      -5.123799
968     -90.578346
956      -1.153096
862       8.263015
942      25.349761
543     -34.551008
492      -2.729048
1039    -20.266322
1131    -39.773033
142      42.067678
135      -3.963508
1197    -15.757938
909      -6.926068
880      19.544694
532       3.489175
961      68.473352
731       9.049586
1253     48.947055
32      -46.298425
55       16.129111
791      -3.619255
1092    -27.083680
1020     38.528134
1336      1.452374
992       9.732740
373     -12.872145
520       1.185003
706      25.230918
509     -14.073110
1086    -18.125081
794       0.475135
1035     -0.787133
847      13.391824
1390     -2.300097
1254    -23.167359
132       7.599911
1102     -0.130768
162     -20.671597
1152     28.846224
651     -35.142918
367      10.945647
1199     -3.285792
115       7.907131
774      96.718847
1084     10.057053
19        7.658260
693       6.171472
1180    -39.453587
1284     20.493916
45       44.884968
1416    -11.140420
752      26.893258
1345     19.925584
374       7.367424
1163    -46.611650
1114      1.817986
1321    -14.171963
843      23.760761
614     -26.099862
765      11.973694
256      23.285149
172      49.426034
770       4.684928
1393     21.948233
929     -23.372987
230      16.835428
783      22.306378
1014     -9.548956
1031    -54.391266
722      11.840027
976      -4.675025
1420     17.784050
545     -39.305234
187       4.861208
940     -18.936500
1179    -16.542906
134      12.519369
337     -11.895906
99       -2.631128
959     -15.816266
44        7.367993
20       13.651542
1186    -62.827007
583      30.908453
224       5.331747
934       8.274426
195      -6.024763
823      14.104209
183     -26.084685
587       1.015440
637     -47.913574
1056    -17.052128
389      51.545110
439     -21.773515
586      31.501872
1038    -25.895711
1373     82.122653
552     -12.916233
902      -6.051620
306     -38.401186
1016    -30.533608
1320      3.978173
677      13.240556
759     -21.688548
957       1.813702
834       0.464086
1208      1.663174
138     -17.172272
168     -16.246548
1192     -8.565727
518      17.158510
1198     -5.477220
246       2.334991
336      31.468351
342     -10.694503
1424     -1.062121
304      -7.755700
757      -2.833385
626       4.585842
98      -19.593870
1030     33.816919
1217      9.043207
1407    -15.899191
325     -22.053779
694       9.618807
299      33.257952
1323     -1.254395
938      -9.716608
723      14.892871
1413    -21.323106
1289      7.207702
680      27.785924
383     -19.313042
1166    -17.982651
72       -9.624352
730     -24.237524
247      -7.292728
141      -3.280058
848      28.269147
351      -2.146523
1411     -3.783715
1062    -64.031993
179     -19.248265
804     -15.791167
459      -9.260824
198     -40.179096
147      -9.885633
568       7.394228
1057     30.579022
489     -32.092153
307     -55.344615
768     -15.415006
225       1.051724
1116    -14.211635
1120     17.431958
699       4.484996
1006    -23.255850
157      -8.638338
913      -4.381167
30     -124.978689
497       5.216824
859      52.244991
347     -27.617170
212      38.109735
1298   -157.752751
659       5.373068
25       12.010783
1133     -5.003280
563       5.203282
1412    -14.436864
729      -8.693721
901      17.745060
737      13.588002
365      28.671671
1277      8.019599
974     -40.309408
416     -14.174022
33        6.493057
236      -2.957046
36        8.523525
605      -6.993648
295      -2.065288
1189    -20.082830
334      12.099554
407      29.219853
1255     -9.016427
1270     49.985632
857       1.780636
1271     26.920049
209      -2.454949
1443     23.623450
1312      5.721456
668       2.802052
1297     -1.099823
31       15.149774
252      -5.839019
242     -57.690900
726       6.254169
114      94.504566
87       44.316074
355      10.886293
537      -8.659596
1335     -0.468770
1395    -26.271855
1077      7.359478
257     -24.146128
864      57.310501
922     -14.475252
721       1.876205
1036     23.430366
323      -7.067362
1104    -20.325036
412      11.169161
493      12.343004
26       10.370382
1242     20.243723
510      16.320231
639       5.959133
564      19.058366
652      -1.741177
1125     -5.329184
379      -5.823501
1209      1.601548
744     -31.371755
116      -1.488612
841      16.756431
1427    -11.917892
753      -2.920660
291      -7.977302
1399     -4.393526
1387    -14.506224
185      83.256140
1090      6.941101
1369    -18.025985
1409     -4.225966
716     -95.925996
454      54.028946
23      -15.474672
608      58.240166
189      24.180521
682      -0.291020
175      47.705061
650      17.521137
824      -2.196082
1026     20.406523
548      10.696977
1441      6.585707
330     -20.231453
193     -40.451110
867      -7.963968
286     -17.965834
1078     20.080958
149      -1.606160
361       5.121405
1183    -10.343562
1346     26.709505
1389     12.065204
1363    -17.029891
128       5.963609
61       19.897725
182      -0.534534
790     -14.578440
1364     -8.981257
690      -1.100596
292     -28.781114
432      -9.749567
353      -8.566828
1089    -11.319388
986     -16.001680
962      -3.274300
1136    -13.883033
126     -10.824710
354     -17.093435
63      -18.157109
137     -76.546561
1101     -3.681397
1203    -11.675332
210       1.541645
103      -3.547579
903      -0.088954
1046     51.261340
610      -8.522798
524      27.831687
123     -15.002798
1137     -2.132554
486      17.954423
12       20.806376
1243     69.048984
125      -9.198648
758      13.353995
139      31.591961
602      -7.313125
1095     -8.269108
495     -96.737831
640       3.384836
1019     26.954628
1245     -6.866577
184       2.462347
1421    -11.804188
352       0.370889
1140     22.434868
1410      9.385067
254       4.875987
1040     -8.393013
1432    -64.301333
846      22.372146
946       1.019479
567      -7.912326
28       54.918691
971       3.919165
869      11.110685
449      13.131042
1113      5.809520
803      53.738664
778       7.978973
954      -0.748700
1258     15.163196
801     -21.112109
1426     20.877223
1240     22.751418
1138     13.313026
1381     41.717261
393       0.191741
989       6.927871
24       18.335317
551      -3.703776
988       8.452492
1349   -153.057831
1211    -59.120361
683       6.504078
1391     -8.769514
127     -19.207607
1087    -10.869761
619      -9.987463
948     -19.234112
814       4.316936
698      17.270013
1083     11.026587
320       2.523730
674      -1.884643
544     -10.125085
422     -21.807077
747     -10.264600
792      43.071177
585      16.439380
885      22.567411
688     150.100677
100      13.608074
914      48.198183
715       3.468028
268      17.863988
1304    -41.865338
1122     35.237730
34        0.274684
339       7.832618
452      16.780982
118     -18.499547
285       1.974640
1449     -9.635277
618      16.549652
1128     -4.181515
937      18.022334
665     -18.397456
420      14.084259
739     -12.136310
745      13.894395
1157     26.976432
1392     -1.601190
467     -13.226773
1091      1.675189
1028    -37.661993
429      -8.672327
647      22.637636
313      74.108528
1377    -43.306612
303      30.784184
576      -6.025822
643      -4.373510
876     -17.009507
457      68.312533
776     -14.825841
249      58.027667
1045     -4.122249
48      -17.757717
933     -31.897237
555       9.001859
460      34.565833
1106     -9.541630
700      -1.310281
399      42.193956
Name: Sale_Price, dtype: float64
In [275]:
aerror5=np.abs(error5)
aerror5
Out[275]:
666      83.180424
104       4.770165
528       8.219275
18        9.630836
1151     22.372726
60        1.699465
70       41.076693
284       6.641923
860      23.511960
327       5.496559
786       7.590293
191      10.104186
218      97.296902
1276      4.217937
713      16.216908
1215     14.016066
621      44.035636
1054     10.234624
596       5.350174
622       4.605557
1384     14.417346
161      28.709872
1141     26.896916
0         6.754403
1337     47.530109
90       15.106868
1202     18.080034
482      35.213129
1292     29.976307
194      10.384434
1224     11.764404
1406      0.897604
1250     27.615841
534      32.692696
899       0.387742
835       7.746134
1228     10.739070
360      19.073907
515      28.778936
2        15.345252
781       3.249163
1317     16.729865
501      18.752943
1331      8.780880
109       0.942313
81       10.928294
1185     22.460737
1096      2.249335
569       5.123799
968      90.578346
956       1.153096
862       8.263015
942      25.349761
543      34.551008
492       2.729048
1039     20.266322
1131     39.773033
142      42.067678
135       3.963508
1197     15.757938
909       6.926068
880      19.544694
532       3.489175
961      68.473352
731       9.049586
1253     48.947055
32       46.298425
55       16.129111
791       3.619255
1092     27.083680
1020     38.528134
1336      1.452374
992       9.732740
373      12.872145
520       1.185003
706      25.230918
509      14.073110
1086     18.125081
794       0.475135
1035      0.787133
847      13.391824
1390      2.300097
1254     23.167359
132       7.599911
1102      0.130768
162      20.671597
1152     28.846224
651      35.142918
367      10.945647
1199      3.285792
115       7.907131
774      96.718847
1084     10.057053
19        7.658260
693       6.171472
1180     39.453587
1284     20.493916
45       44.884968
1416     11.140420
752      26.893258
1345     19.925584
374       7.367424
1163     46.611650
1114      1.817986
1321     14.171963
843      23.760761
614      26.099862
765      11.973694
256      23.285149
172      49.426034
770       4.684928
1393     21.948233
929      23.372987
230      16.835428
783      22.306378
1014      9.548956
1031     54.391266
722      11.840027
976       4.675025
1420     17.784050
545      39.305234
187       4.861208
940      18.936500
1179     16.542906
134      12.519369
337      11.895906
99        2.631128
959      15.816266
44        7.367993
20       13.651542
1186     62.827007
583      30.908453
224       5.331747
934       8.274426
195       6.024763
823      14.104209
183      26.084685
587       1.015440
637      47.913574
1056     17.052128
389      51.545110
439      21.773515
586      31.501872
1038     25.895711
1373     82.122653
552      12.916233
902       6.051620
306      38.401186
1016     30.533608
1320      3.978173
677      13.240556
759      21.688548
957       1.813702
834       0.464086
1208      1.663174
138      17.172272
168      16.246548
1192      8.565727
518      17.158510
1198      5.477220
246       2.334991
336      31.468351
342      10.694503
1424      1.062121
304       7.755700
757       2.833385
626       4.585842
98       19.593870
1030     33.816919
1217      9.043207
1407     15.899191
325      22.053779
694       9.618807
299      33.257952
1323      1.254395
938       9.716608
723      14.892871
1413     21.323106
1289      7.207702
680      27.785924
383      19.313042
1166     17.982651
72        9.624352
730      24.237524
247       7.292728
141       3.280058
848      28.269147
351       2.146523
1411      3.783715
1062     64.031993
179      19.248265
804      15.791167
459       9.260824
198      40.179096
147       9.885633
568       7.394228
1057     30.579022
489      32.092153
307      55.344615
768      15.415006
225       1.051724
1116     14.211635
1120     17.431958
699       4.484996
1006     23.255850
157       8.638338
913       4.381167
30      124.978689
497       5.216824
859      52.244991
347      27.617170
212      38.109735
1298    157.752751
659       5.373068
25       12.010783
1133      5.003280
563       5.203282
1412     14.436864
729       8.693721
901      17.745060
737      13.588002
365      28.671671
1277      8.019599
974      40.309408
416      14.174022
33        6.493057
236       2.957046
36        8.523525
605       6.993648
295       2.065288
1189     20.082830
334      12.099554
407      29.219853
1255      9.016427
1270     49.985632
857       1.780636
1271     26.920049
209       2.454949
1443     23.623450
1312      5.721456
668       2.802052
1297      1.099823
31       15.149774
252       5.839019
242      57.690900
726       6.254169
114      94.504566
87       44.316074
355      10.886293
537       8.659596
1335      0.468770
1395     26.271855
1077      7.359478
257      24.146128
864      57.310501
922      14.475252
721       1.876205
1036     23.430366
323       7.067362
1104     20.325036
412      11.169161
493      12.343004
26       10.370382
1242     20.243723
510      16.320231
639       5.959133
564      19.058366
652       1.741177
1125      5.329184
379       5.823501
1209      1.601548
744      31.371755
116       1.488612
841      16.756431
1427     11.917892
753       2.920660
291       7.977302
1399      4.393526
1387     14.506224
185      83.256140
1090      6.941101
1369     18.025985
1409      4.225966
716      95.925996
454      54.028946
23       15.474672
608      58.240166
189      24.180521
682       0.291020
175      47.705061
650      17.521137
824       2.196082
1026     20.406523
548      10.696977
1441      6.585707
330      20.231453
193      40.451110
867       7.963968
286      17.965834
1078     20.080958
149       1.606160
361       5.121405
1183     10.343562
1346     26.709505
1389     12.065204
1363     17.029891
128       5.963609
61       19.897725
182       0.534534
790      14.578440
1364      8.981257
690       1.100596
292      28.781114
432       9.749567
353       8.566828
1089     11.319388
986      16.001680
962       3.274300
1136     13.883033
126      10.824710
354      17.093435
63       18.157109
137      76.546561
1101      3.681397
1203     11.675332
210       1.541645
103       3.547579
903       0.088954
1046     51.261340
610       8.522798
524      27.831687
123      15.002798
1137      2.132554
486      17.954423
12       20.806376
1243     69.048984
125       9.198648
758      13.353995
139      31.591961
602       7.313125
1095      8.269108
495      96.737831
640       3.384836
1019     26.954628
1245      6.866577
184       2.462347
1421     11.804188
352       0.370889
1140     22.434868
1410      9.385067
254       4.875987
1040      8.393013
1432     64.301333
846      22.372146
946       1.019479
567       7.912326
28       54.918691
971       3.919165
869      11.110685
449      13.131042
1113      5.809520
803      53.738664
778       7.978973
954       0.748700
1258     15.163196
801      21.112109
1426     20.877223
1240     22.751418
1138     13.313026
1381     41.717261
393       0.191741
989       6.927871
24       18.335317
551       3.703776
988       8.452492
1349    153.057831
1211     59.120361
683       6.504078
1391      8.769514
127      19.207607
1087     10.869761
619       9.987463
948      19.234112
814       4.316936
698      17.270013
1083     11.026587
320       2.523730
674       1.884643
544      10.125085
422      21.807077
747      10.264600
792      43.071177
585      16.439380
885      22.567411
688     150.100677
100      13.608074
914      48.198183
715       3.468028
268      17.863988
1304     41.865338
1122     35.237730
34        0.274684
339       7.832618
452      16.780982
118      18.499547
285       1.974640
1449      9.635277
618      16.549652
1128      4.181515
937      18.022334
665      18.397456
420      14.084259
739      12.136310
745      13.894395
1157     26.976432
1392      1.601190
467      13.226773
1091      1.675189
1028     37.661993
429       8.672327
647      22.637636
313      74.108528
1377     43.306612
303      30.784184
576       6.025822
643       4.373510
876      17.009507
457      68.312533
776      14.825841
249      58.027667
1045      4.122249
48       17.757717
933      31.897237
555       9.001859
460      34.565833
1106      9.541630
700       1.310281
399      42.193956
Name: Sale_Price, dtype: float64
In [276]:
mape_5=np.mean(aerror5/tr_ytest)*100
mape_5
Out[276]:
4.936403329430062
In [277]:
mae_5=metrics.mean_absolute_error(tr_ytest,pred5)
mae_5
Out[277]:
19.780698806464976
In [278]:
MSE_5=metrics.mean_squared_error(tr_ytest,pred5)
MSE_5
Out[278]:
874.161222936046